Cholesterol reducing compositions and methods of use thereof

ABSTRACT

Microbes expressing cholesterol oxidoreductase (COR) proteins, methods of engineering the microbes expressing COR proteins, compositions and methods of using the microbes are provided.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the benefit of U.S. Provisional Application No. 62/903,581, filed Sep. 20, 2019 and U.S. Provisional Application No. 63/013,493, filed Apr. 21, 2020. The entire contents of the above-identified applications are hereby fully incorporated herein by reference.

STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH

This invention was made with government support under Grant No.(s) DK043351 and HL131015 awarded by the National Institutes of Health. The government has certain rights in the invention.

REFERENCE TO AN ELECTRONIC SEQUENCE LISTING

The contents of the electronic sequence listing (“BROD-4810US_ST25.txt”; Size is 4,334,096 bytes (4.3 MB on disk) and it was created on Sep. 18, 2020) is herein incorporated by reference in its entirety.

TECHNICAL FIELD

The subject matter disclosed herein is generally directed to microbes expressing cholesterol oxidoreductase (COR) proteins, compositions and uses thereof, in particular, for cholesterol and triglyceride reduction.

BACKGROUND

Cholesterol is a key biological molecule that functions as a structural component of all cellular membranes and is a precursor to steroid hormones, vitamin D and bile acids. Furthermore, hypercholesterolemia, or high cholesterol levels, is strongly associated with the progression of atherosclerosis and coronary heart disease. These conditions are linked to increased incidence of heart attack and stroke and are the cause of one-fourth of all deaths in industrialized countries.1 Two main sources of cholesterol are thought to influence levels of this metabolite in serum: host-derived cholesterol synthesized in the liver and exogenous cholesterol derived from dietary components of animal origin. The cholesterol that is synthesized in liver hepatocytes is transported to the gallbladder and is then secreted into the small intestine along with other bile salts. In the intestine, biliary cholesterol is mixed with dietary cholesterol, where it is eventually transported into enterocytes, packaged into chylomicrons, and secreted into the plasma.

A diverse number of microbes with expanded metabolic capabilities metabolize and chemically modify many of the dietary and host-derived molecules in the small intestine. Because both dietary and host-derived cholesterol passes through the small intestine, it has been proposed that the gut microbiota may influence cholesterol levels. Studies examining associations between gut microbial community composition and cholesterol levels have shown that taking into account the abundances of particular gut organisms can improve models to predict variance of cholesterol levels in serum.4,5 Other studies have found particular bacterial species, when administered as probiotics, can also have cholesterol-lowering effects on the host, although the precise mechanisms underlying this observation are currently unknown.

One proposed mechanism by which the gut microbiota may exert cholesterol-lowering effects is through the direct metabolism of intestinal cholesterol to coprostanol, a transformation known to occur in a subset of the human population since the 1930s.7 The intestinal gut microbiota can reduce the 45 double bond in cholesterol, changing the three-dimensional structure of the sterol core. Though biological consequences of this metabolic activity are largely unknown, one possible outcome is depletion of intestinal cholesterol, which could reduce intestinal cholesterol absorption by small intestinal enterocytes and consequently lower serum cholesterol levels. Notably, reducing cholesterol transport in the intestine is a clinically validated strategy for lowering cholesterol levels as demonstrated by ezetimibe, an FDA-approved small molecule inhibitor of the intestinal cholesterol transporter.

Over the past 90 years, scientists have attempted to assess whether coprostanol formation by gut microbes influences cholesterol homeostasis in humans. However, due to a lack of fecal metabolomics datasets and a limited understanding of the gut microbes, genes, and enzymes responsible for cholesterol metabolism, this connection has remained elusive.

Citation or identification of any document in this application is not an admission that such a document is available as prior art to the present invention.

SUMMARY

In certain example embodiments, non-naturally occurring microbes engineered to express one or more cholesterol oxidoreductase (COR) proteins or a homolog thereof. It will be appreciated that COR proteins and the genes that encode them are also referred herein and in the art with IsmA (Intestinal Sterol Metabolism) proteins and genes. The two nomenclatures are used interchangeably herein. In particular embodiments, the one or more COR homologs originate from phylum Firmicutes. The one or more COR homologs may also originate from or be in the direct neighborhood or marker species of Cluster IV or cluster XIVa Clostridium group. In embodiments, the one or more COR homologs originate from Eubacterium. In embodiments, the one or more COR homologs originate from Eubacterium coprostanoligenes, in one aspect, Eubacterium coprostanoligenes HL (ATCC 51222). In embodiments, the one or more COR homologs are derived from the human gut. In embodiments, the one or more human CORs are selected from one or more of sequences in Table 8. In embodiments, the microbe comprises a COR having at least 60% amino acid identity with ECOP170. The COR can be selected from one or more of the sequences in Table 1, selected from the group consisting of ECOP170, CAG:180, CAG:251, CAG:341, CAG:217, CAG:528, and CAG678, or be selected from one or more polypeptides having 60 to 100 percent amino acid identity with any one or more of the sequences provided in Table 1. In some embodiments, the COR can be selected from one or more polypeptides having about 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, or about 100 percent amino acid identity to one or more of the sequences in Table 1.

In embodiments, the microbe is further engineered to express an enzyme capable of converting cholestenone to coprostanone. The microbe may be further engineered to express a cholesterol transporter. In some embodiments, the microbe is an engineered variant of a microbe within the phyla of Firmicutes, Bacteroidetes, Actinobacteria, Bacteroidetes, Proteobacteria, Fusobacteria, Verrucomicorbia, Euryarchaeota, or Ascomycota. In some embodiments, the microbe is an engineered variant of a microbe within the genus Corynebacterium, Bifidobacterium, Atopobium, Faecalibacterium, Clostridium, Roseburia, Ruminoccus, Dialister, Lactobacillus, Enterococcus, Staphlyoccus, Streptococcus, Sphingobacterium, Bacteroides, Tannerella, Parabacteroides, Alistipes, Prevotella, Escherichia, Shigella, Desulfovibrio, Bilophila, Helicobacter, Fusobacterium, Pediococcus, Bacillus, Leuconostoc, Akkermansia, Methanobrevibacter, Propionibacterium, Coriobacteriaceae, Actinobacteria, Rikenellaceae, Lachnospiraceae, Firmicutes, Peptostreptococcaceae, Veillonella, Oscillospira, Dialister, Slackia, Eggerthella, Gordonibacter, Geobacter Alkaliphilus, Cantenibacterium, Holdemania,Marvinbryantia, Symbiobacterium, Roseburia, Erysipelotrichaceae, Butyricicoccus, Sporobacter, Blautia, Dorea, Succinivibrio, Barnesiella, Biolophila, Eubacterium, or Saccharomyces. In embodiments, the microbe is an engineered variant of a Lactobacillus, Bifidobacterium, Saccharomyces, Enterococcus, Streptococcus, Pediococcus, Leuconostoc, Bacillus, or Escherichia coli. A composition comprising any one of the microbes described herein is also disclosed. In embodiments, the composition is formulated for oral delivery.

Probiotic compositions comprising one or more microbes encoding one or more CORs are also provided. In embodiments, the probiotic may comprise one or more microbes from the phylum Firmicutes, or one or more microbes may also originate from or be in the direct neighborhood or marker species of Cluster IV or cluster XIVa Clostridium group. In embodiments, the probiotic composition may comprise one or more microbes from Eubacterium, preferably, Eubacterium coprostanoligenes, more preferably, Eubacterium coprostanoligenes HL (ATCC 51222). In embodiments, the one or more microbes are selected from the Metagenomic Species (MSP) MSP_0701, MSP_0759, MSP_0654, MSP_0205, MSP_0421, MSP_0764, MSP_0238, MSP_0522, MSP_0672, MSP_0602, MSP_0645, MSP_0476, MSP_0640, MSP_0676, MSP_0638, MSP_0562, MSP_0196, MSP_0741, MSP_0910, MSP0832, Obregon-TitoAJ_2015_NO16_bin.9, UMGS233, UMGS598, UMGS135, GeversD_2014_SKBSTL024_bin.4, UMGS98, LeChatelierE_2013_MH0448_bin.22, SmitsSA_2017_TZ_65172_bin.2, XieH_2016_YSZC12003_36049_bin.90, LoombaR_2017_SID5447_cka_bin.41, VincentC_2016_MM029.3_bin.33, UMGS234, UMGS1867, ZellerG_2014_CCIS11015875ST-4-0_bin.2, or permissible combinations thereof. The probiotic compositions may also include engineered microbes as disclosed herein. The probiotic composition can be formulated for oral, optionally a powder, bolus gel, capsule, liquid, or foodstuff. In some embodiments, the probotic may comprise one or more prebiotics.

A method of reducing cholesterol uptake in a subject is also provided, comprising delivering coprostanol, cholestenone, or coprostanone in an effective amount to lower serum cholesterol in the subject. In embodiments, the coprostanol, cholestenone, or coprostanone is provided in a water dispersible solid form.

A method of screening subjects for increased risk of high cholesterol or an Inflammatory Bowel Disease is provided comprising detecting the presence in of one or more COR encoding microbes in the gut of a subject. In one aspect, the detecting comprises culturing one or more COR encoding microbes or detecting one or more microbial COR genes or proteins in the fecal sample of the subject.

Methods of reducing serum total cholesterol and/or triglycerides in a subject comprising administering an engineered microbe as disclosed herein, a probiotic composition of the disclosure, or coprostanol, cholestenone, or coprostanone to a subject in need thereof In an aspect, the subject has hypercholesterolemia.

These and other aspects, objects, features, and advantages of the example embodiments will become apparent to those having ordinary skill in the art upon consideration of the following detailed description of example embodiments.

BRIEF DESCRIPTION OF THE DRAWINGS

An understanding of the features and advantages of the present invention will be obtained by reference to the following detailed description that sets forth illustrative embodiments, in which the principles of the invention may be utilized, and the accompanying drawings of which:

FIG. 1A-1E Uncharacterized 313-HSDs from E. coprostanoligenes and phylogenetically related human-associated bacteria can oxidize cholesterol to cholestenone. FIG. 1A. The proposed pathway for coprostanol (4) formation in Eubacterium coprostanoligenes involves the intermediates cholestenone (2) and coprostanone (3). FIG. 1B. A 3β-hydroxysteroid dehydrogenase enzyme from E. coprostanoligenes, ECOP170, converts cholesterol (1) to cholestenone (2) and FIG. 1C. converts coprostanol (4) to coprostanone (3) in the presence of 100 μM of NAD⁺ and 100 μM NADP⁺. FIG. 1D. Blastp hits of ECOP170 in the NCBI database with at least 40% amino acid identity and 95% query coverage. 10 proteins with higher homology (>60% aa identity) to ECOP170 (purple circle) are from uncultured organisms and are deposited into the database as co-abundant gene groups (CAGs). FIG. 1E. ECOP170 homologues from gut bacteria expressed in E. coli convert cholesterol and coprostanol (gray squares) to their corresponding ketones (2 and 3 respectively) but were not able to convert primary bile acids to the corresponding keto bile acids (white squares). We considered the detection of any of the desired product in an assay conditions as metabolism.

FIG. 2A-2E—Prevalence of cholesterol oxidoreductases in human microbiomes across the different cohorts. FIG. 2A. Proportion of microbiome samples within each respective cohort that encodes one of the 25 COR homologs. FIG. 2B. Abundance of COR homologs vary across populations, with CORs from CAG:251, CAG:341, CAG:217 and CAG:180 being the most abundant homologs across all of the populations. Dotted lines show homologs that have been shown to metabolize cholesterol in vitro. FIG. 2C. Percentages of samples containing one of the 25 cholesterol homologs after stratification of the PRISM cohort by disease state. FIG. 2D. Levels of cholesterol oxidoreductase present in the microbiome when stratified by disease state (Total, n=155; NonIBD, n=34; UC, n=53; CD, n=68; nonIBD vs CD p=0.0101; UC vs CD p=0.0202). P values were determined by one-way ANOVA followed by Tukey's multiple comparisons test. FIG. 2E. Levels of cholesterol oxidoreductase present in the microbiome when stratified by antibiotic usage (Total, n=152; positive, n=134; negative, n=18; p=0.0182). P values were determined by two-tailed t test. Each point represents an independent sample with the center bar representing the mean and error bars representing s.e.m. (PRISM: cholesterol oxidoreductase negative samples n=96, positive samples n=60).

FIG. 3 Human gut bacteria containing cholesterol oxidoreductase are uncultured members of group IV Clostridium. 18 different metagenomics species (msp) containing a cholesterol oxidoreductase gene could be identified across the combined assemblies of microbiomes. This analysis recovered all of the metagenomics assemblies already deposited in the NCBI database (CAG:251, CAG:341, CAG:217, CAG:678, CAG:528, CAG:180). To determine the genomic context around each cor gene, contigs were assembled from stool samples containing the highest number of reads against each of the 18 metagenomic species. Most of the cor genes are found neighboring an MFS transporter (red) and a biotin transporter (light green). The average nucleotide identity (ANI) was computed between all of the genomes that could be reconstructed from metagenomes. The two MSPs without complete genomes are shown as white boxes. ANI scores between two MSPs that are greater than 95% (likely indicating the same species), are marked with a hollow center.

FIG. 4A-4C Fecal coprostanol formation is correlated to the presence of one of the 25 cholesterol oxidoreductase homologs. FIG. 4A. The presence of a cholesterol oxidoreductase homolog in the gut microbiome is highly correlated to the presence of fecal coprostanol (detected). Odds ratios for PRISM and HMP2 cohorts are 14.37 (95% CI: 5.41, 44.02) and 40.87 (95% CI: 18.02, 92.72) respectively. FIG. 4B. Stool samples from patients with cholesterol oxidoreductase in their microbiomes have lower stool cholesterol (1), and higher cholestenone (2) and coprostanol (4) as determined by untargeted fecal metabolomics. Each point represents an independent sample with the center bar representing the mean and error bars representing s.e.m. (PRISM: cholesterol oxidoreductase negative samples n=96, positive samples n=60, HMP2: cholesterol oxidoreductase negative samples n=310, positive samples n=161). Analysis was performed using linear (cholesterol and cholestenone) and logistic (coprostanol) regressions for PRISM and mixed effect linear (cholesterol and cholestenone) and logistic (coprostanol) models to account for repeated measures in HMP2, including the following as covariates in all models: age, gender, antibiotic usage (yes/no) and disease status (nonIBD, CD or UC). See methods for details. FIG. 4C. Ex vivo fecal conversion of cholesterol to coprostanol by stool samples. Coprostanol formation occurred in 5 of the 8 stool samples cultured in basal cholesterol medium, with 4 of these 5 containing at least one of the 25 cholesterol oxidoreductases identified at day 3. The one culture without a detectable cholesterol oxidoreductase generated coprostanol sluggishly, with metabolism only evident at day 6, and it is possible that cor+bacteria were below the limit of detection at day 3.

FIG. 5 Meta-analysis results for associations of serum lipid levels with encoder status in CVD cohorts. Three studies were included in random effects meta-analysis (highlighted in orange and annotated on y-axis). The changes in HDL-C, LDL-C, total cholesterol (TC) level (mmol/L) and triglycerides (logTG, log10 mmol/L) between encoders and non-encoders are presented for each study by the center of the square (95% confidence interval presented by respective horizontal black lines). The meta-analysis combined result is presented by blue diamonds with point estimate presented by vertical diamond points and dashed line, while horizontal points of the diamond represent the 95% CI. Solid black line represents null effect. Studies on the right from this line (i.e. positive values on the x axis) have a higher level of serum lipids in encoders compared to non-encoders; studies on the left (i.e. negative values on the x axis) have lower levels of serum lipids in encoders compared to non-encoders. In a meta-analysis of three studies we observed 0.14 mmol/L lower level of TC in non-encoders compared to encoders (95% CI: −0.27, −0.02) and 0.056 units for TG on log10 scale lower levels of TG in non-encoders compared to encoders (95% CI: −0.083, −0.028). These differences were consistent among study participants with and without CVD in all three studies. Full results are presented in Table 13.

FIG. 6. A model for the factors influencing serum and intestinal cholesterol levels in humans. Intestinal cholesterol levels are influenced by both dietary and host-derived cholesterol. Intervention by changes in diet or use of statins both affect levels of intestinal cholesterol, while the use of ezetimibe blocks intestinal uptake of intestinal cholesterol. Gut microbial metabolism of cholesterol may serve to decrease reduce cholesterol absorption in the intestine, resulting in lower serum cholesterol levels.

FIG. 7 Coprostanol formation by Eubacterium coprostanoligenes in pure culture. E. coprostanoligenes was cultured for 6 days in basal cholesterol media under anaerobic conditions at 37° C. At days 2, 4 and 6, samples were taken from the culture and levels of cholesterol and downstream metabolites were quantified using LC-MS.

FIG. 8A-8D E. coprostanoligenes is rarely observed in the human gut microbiome. FIG. 8A. E. coprostanoligenes doesn't assemble in human gut microbiomes. FIG. 8B. The four samples in which we detected a homolog to E. coprostanoligenes's COR gene were mapped to the E. coprostanoligenes-augmented gene catalogue and in three of them we detected >80% of E. coprostanoligenes genes. FIG. 8C. Venn diagram for detected E. coprostanoligenes genes. FIG. 8D. Venn diagram for non-detected E. coprostanoligenes genes.

FIG. 9 Cholesterol oxidoreductase activity in E. coprostanoligenes lysate is NADP′ dependent. Activity assay in Eubacterium coprostanoligenes lysate after growth for 2 days in media without cholesterol and lysis under anaerobic conditions. Conversion of cholesterol (100 μM) to cholestenone occurs in HEPES (pH=7.5, 300 mM NaCl) when NADP+(100 μM) is added to the lysate. Extracted ion chromatograms (EICs) of 2 (rt 2.60, 385.244→108.988) are shown for all conditions.

FIG. 10 ECOP170 is the HSD with the highest fold change in expression when grown on cholesterol containing medium compared to medium without cholesterol. The expression levels of the four genes encoding putative HSDs in E. coprostanoligenes when grown in cholesterol containing medium compared to medium without cholesterol at 48 h. Each point represents a biological replicate with the center bar representing the mean and error bars represent s.d. (n=3). P values were determined by one-way ANOVA followed by Tukey's multiple comparisons test.

FIG. 11 In vitro activity assay of purified N-terminal His-tagged ECOP170 expressed in BL21 E. coli. Activity assay with ECOP170 (1.5 μM) in HEPES (pH=7.5, 50 mM, 300 mM NaCl) with 100 μM cholesterol and either 100 μM of NADP⁺ (red) or 100 μM of NAD⁺ (blue). EICs of 2 (rt 2.60, 385.244→108.988) are shown for both conditions.

FIG. 12A-12B CORs from human-associated gut microbes accept cholesterol and coprostanol but not primary bile acids. Activity assay with E. colt lysates (PBS, pH=7.4) expressing one of the cholesterol oxidoreductase enzymes from human-associated microbes with FIG. 12A. 100 μM cholesterol or FIG. 12B. 100 μM of coprostanol with 100 μM each of NAD⁺ and NADP⁺. EIC for the products of both reactions are shown.

FIG. 13A-13C Identification of human-associated cholesterol oxidoreductases with homology to ECOP170 in the combined assembly of 7 human cohorts. FIG. 13A. 1,854 proteins with the highest amino acid percent identity to ECOP170 were identified. A histogram of the genes with an e-value of less than 1E-50 (33 genes) was made. The percent AA identity bins clearly show a gap in sequences between greater than 60% and less than 45% AA identity with ECOP170. The cutoff for putative cholesterol oxidoreductases was therefore set at 60% AA identity. The percent AA identity bins that contain a characterized cholesterol oxidoreductase protein are identified by the black border and diagonal pattern. FIG. 13B. Percent AA identity matrix between all 25 cholesterol oxidoreductase genes found within the combined microbiome assembly. FIG. 13C. A protein sequence similarity network (SSN) was constructed using the 1,854 proteins with greater than 20% AA identity to ECOP170 from the combined assembly. Nodes represent proteins with 100% sequence identity. The SSN is displayed with a percent AA identity threshold of 60%. The 25 cholesterol oxidoreductase proteins are circled and shown in light blue. All protein sequences used to generate this SSN are presented in Table S6.

FIG. 14A-14B Effect of inflammatory bowel disease state and antibiotic usage on presence of cholesterol oxidoreductase in a microbiome in the HMP2 cohort. FIG. 14A. Levels of cholesterol oxidoreductase present in the microbiome when stratified by disease state (Total, n=471; NonIBD, n=123; UC, n=123; CD, n=225; nonIBD vs CD p=0.0566; UC vs CD p=0.0056). P values were determined by one-way ANOVA followed by Tukey's multiple comparisons test. FIG. 14B. Levels of cholesterol oxidoreductase present in the microbiome when stratified by antibiotic usage (Total, n=471; positive, n=429; negative, n=42; p=0.0684). P values were determined by two-tailed t test. Each point represents an independent sample with the center bar representing the mean and error bars representing s.e.m.

FIG. 15 Phylogenetic neighborhood of Eubacterium coprostanoligenes including high quality genomes of COR-encoding MSPs (*) and additional 14 COR-encoding species from Pasolli and Almeida (**). Tree was generated using PhyloPhlAn (Segata et al. 2013).

FIG. 16 Levels of serum cholesterol are important for human health and can be modulated by a variety of factors, including the potential metabolism of cholesterol by the gut microbiota. Intestinal cholesterol levels are influenced by both dietary and host-derived cholesterol. Intervention by changes in diet or use of statins both affect levels of intestinal cholesterol, while the use of ezetimibe blocks uptake of intestinal cholesterol. Gut microbial metabolism of cholesterol may also serve to reduce cholesterol absorption in the intestine, resulting in lower serum cholesterol levels. The proposed pathway for microbial conversion of cholesterol (1) to coprostanol (4) in Eubacterium coprostanoligenes, a hog sewage isolate, involves the intermediates cholestenone (2) and coprostanone (3).

FIG. 17A-17E Integrative analysis of metagenomes, metabolomes, isolate genomes and enzymatic functions reveal candidate bacterial genes involved in cholesterol metabolism in the human gut microbiome. Human gut microbiome genes from a de-novo assembled gene catalogue, after additional clustering step into groups of homologous proteins (at least 50% AA identity), were correlated with coprostanol detection in paired metagenomic-metabolomic samples and further prioritized by incorporating information from relevant microorganisms and enzymes. (FIG. 17A) Scores of specificity and sensitivity in relation to presence of coprostanol were calculated for each cluster of homologous proteins and their density is represented through hexagonal bin plot; 8.6% of protein clusters are found with greater than 50% specificity and sensitivity to coprostanol detection. (FIG. 17B) Proteins encoded by gut microbes of interest (implicated in coprostanol formation in literature) were used to query the clusters of homologous proteins. Clusters containing proteins with >50% AA identity to proteins found within a specified organism were used to generate a smoothed trend line (see FIG. 24 for the location of species matched clusters). According to the location of these trend lines, E. coprostanoligenes matching clusters are more specifically associated with coprostanol formation than other microbes. (FIG. 17C) Clusters of homologous proteins were queried with characterized enzymes known to either catalyze the oxidation of cholesterol to cholestenone: cholesterol oxidases (PF09129), AcmA from S. denitrificans and Rv1106c from M tuberculosis, or enzymes that can perform very similar chemical transformations (hydroxysteroid dehydrogenases, HSDs, from gut commensals). USEARCH ublast (Edgar, 2010) analysis was performed with inclusive cutoffs (>25% AA identity and 50% coverage). (FIG. 17D) Combining the evidence from FIG. 17A-17C, 4 putative HSDs in E. coprostanoligenes were identified, 3 of which (ECOP170, ECOP726, ECOP442) had high specificity with regards to the presence of coprostanol (>0.9), albeit with greatly varying sensitivity. All four enzymes were chosen for further biochemical validation. (FIG. 17A-D) Dataset 1 analysis, see FIG. 23A-D for dataset 2 analysis. FIG. 17E Overview of integrative analysis of metagenomes, metabolomes, isolate genomes and enzymatic functions.

FIG. 18A-18D Uncharacterized 3β-hydroxysteroid dehydrogenase (3β-HSD) enzymes from E. coprostanoligenes and phylogenetically related human-associated bacteria oxidize cholesterol to cholestenone. (FIG. 18A) A 30-hydroxysteroid dehydrogenase enzyme from E. coprostanoligenes, ECOP170, converts cholesterol (1) to cholestenone (2) and (FIG. 18B) converts coprostanol (4) to coprostanone (3) in the presence of a mixture of 100 μM of NAD⁺ and 100 μM NADP⁺. (FIG. 18C) ECOP170 homologs from gut bacteria heterologously expressed in E. coli convert the 3β-OH groups (blue) of cholesterol and coprostanol (gray squares) to the corresponding ketones (2 and 3 respectively) but were not able to convert primary bile acids, which have 3α-OH groups (red), to the corresponding keto bile acids (white squares). The detection of any of the desired products after overnight incubation in an assay condition to be metabolism was considered. (FIG. 18D) A multiple sequence alignment of the 25 human-associated cholesterol oxidoreductase homologs and ECOP170 centered on the conserved active site residues S138, Y151 and K155. Mutation of any of these residues to alanine in ECOP170 completely abolishes activity (red) while proteins with mutations in neighboring residues retain activity (green). Cholesterol oxidoreductases highlighted in blue are confirmed biochemically to oxidize cholesterol.

FIG. 19A-19D Cholesterol oxidoreductase encoding gut bacteria are uncultured members of group IV Clostridium and are prevalent across geographically diverse human populations. (FIG. 19A) 20 different metagenomics species (MSPs) containing a cholesterol oxidoreductase gene could be identified in human gut microbiome datasets. Phylogenetic tree was generated using PhyloPhlAn (Segata et al., 2013) and includes all COR-encoding MSPs as well as species in the direct neighborhood or marker species for Clostridium Cluster IV and Cluster XIVa. (FIG. 19B) Ex vivo conversion of cholesterol to coprostanol by human fecal samples. Coprostanol formation occurred in 4 of the 8 samples cultured in basal cholesterol medium, with all 4 metabolizing samples containing at least one of the COR-encoding species identified at day 3. (FIG. 19C) Proportion of microbiome samples within each respective cohort that contains at least one COR-encoding species. Prevalence of COR-encoding species varies across populations, with COR-encoding species msp_0205, msp_0421, msp_0238, and msp_0196 being the most abundant across all of the populations examined. Dotted lines show species whose cholesterol oxidoreductase homologs have been shown to metabolize cholesterol in vitro. (FIG. 19D) Relative abundance levels of COR-encoding species present in the gut microbiome when stratified by disease state (HMP2: Total, n=1,581; Non-IBD, n=411, Avg rel. ab.=1.047; UC, n=437, Avg rel. ab.=0.8613; CD, n=733, Avg rel. ab.=0.4864; non-IBD vs UC p=0.72; non-IBD vs CD p=0.009; UC vs CD p=0.009; PRISM: Total, n=154; Non-IBD, n=34, Avg rel. ab.=1.51; UC, n=52, Avg rel. ab.=1.437; CD, n=68, Avg rel. ab.=0.525; non-IBD vs UC p=0.14; non-IBD vs CD p=1.33e-6; UC vs CD p=6.30e-4). P values were determined by a Wald test for PRISM (a linear model) and a Satterthwaite's method for HMP2 (a mixed linear model with random effect for subjects) and corrected for multiple comparisons with Benjamini-Hochberg method. The center bar represents the mean and error bars representing 95% confidence interval.

FIG. 20A-20C Fecal coprostanol formation is correlated to the presence of cholesterol oxidoreductase homologs in gut microbiomes. (FIG. 20A) Two independent human cohorts with paired fecal metagenomics and metabolomics were used to investigate the association between COR-encoding species and coprostanol formation. The presence of COR-encoding bacteria in the gut microbiome is highly correlated to the presence of fecal coprostanol (detected). Odds ratios for PRISM and HMP2 cohorts are 14.37 (95% CI: 5.41; 44.02) and 40.87 (95% CI: 18.02; 92.72), respectively. (FIG. 20B) Stool samples from patients with cor+ species in their microbiomes have lower stool cholesterol (1), and higher cholestenone (2) and coprostanol (4) as determined by untargeted fecal metabolomics. Each point represents an independent sample with the center bar representing the mean and error bars representing s.e.m. (PRISM: cor+ species negative samples n=99, positive samples n=55, HMP2: cor+ species negative samples n=302, positive samples n=169). Analysis was performed using linear (cholesterol and cholestenone) and logistic (coprostanol) regressions for PRISM and mixed effect linear (cholesterol and cholestenone) and logistic (coprostanol) models to account for repeated measures in HMP2, including the following as covariates in all models: age, gender, antibiotic usage (yes/no) and disease status (non-IBD, CD or UC). See methods for details. (FIG. 20C) Molar ratios of cholesterol (gray), cholestenone (dark blue) and coprostanol (light blue) are shown for 11 coprostanol positive stool samples from the PRISM cohort as measured by targeted metabolomics. Across the samples, molar ratios for coprostanol vary from 0.956 in sample 8982 to 0.074 in sample 8573. Molar ratios were calculated by taking the concentration for each metabolite of interest and dividing by the sum of the concentrations for each of the 3 metabolites measured within a sample. Concentrations of each of the metabolites in a fecal slurry were determined by a standard curve with reference standards.

FIG. 21 Meta-analysis reveals an association of total cholesterol levels with encoder status in CVD cohorts. Three studies were included in random effects meta-analysis (highlighted in orange and annotated on y-axis). The changes in HDL-C, LDL-C, and total cholesterol (TC) levels (mmol/L) between encoders and non-encoders are represented for each study by the center of the square (95% confidence interval presented by respective horizontal black lines). The combined results of the meta-analysis is represented by blue diamonds with point estimate presented by vertical diamond points and dashed line, while respective 95% CI is presented by horizontal line in the diamond's center. Solid black line represents the null effect. Studies on the right of this line (i.e. positive values on the x axis) have a higher level of serum lipids in encoders compared to non-encoders; studies on the left (i.e. negative values on the x axis) have lower levels of serum lipids in encoders compared to non-encoders. In a meta-analysis of three studies, Applicants observed 0.15 mmol/L lower level of TC in encoders compared to non-encoders (95% CI: −0.27, −0.03) and 0.055 units for TG on log10 scale lower levels in encoders compared to non-encoders (95% CI: −0.083, −0.027). Meta-analysis results for HDL-C and LDL-C were not statistically significant. Full results are presented in Table S12.

FIG. 22A-22D Replication of bioinformatic analysis of assembled human gut microbiome gene catalogue in an independent dataset with paired stool metagenomes and metabolomes.

FIG. 23A-23D Cholesterol metabolism by Eubacterium coprostanoligenes in pure culture and lysates.

FIG. 24 Clusters of proteins with homology to proteins encoded by gut microbes previously implicated in coprostanol formation.

FIG. 25A-25B In vitro activity of purified N-terminal His-tagged ECOP170 expressed in E. coli BL21(DE3).

FIG. 26A-26C Identification of human-associated cholesterol oxidoreductases with homology to ECOP170 in the combined assembly of six human cohorts.

FIG. 27A-27D CORs from human-associated gut microbes metabolize cholesterol and coprostanol but not primary bile acids.

FIG. 28A-28E Mechanism and catalytic residues for hydroxysteroid dehydrogenases.

FIG. 29A-29C COR encoding species identified across 6 human cohorts.

FIG. 30 Measurements of cholesterol, cholestenone, coprostanone, and coprostanol by stool cultures at days 2 and 4.

FIG. 31A-31C Quantitative targeted metabolomics of cholesterol, cholestenone and coprostanol in a subset of stool samples from the PRISM cohort.

The figures herein are for illustrative purposes only and are not necessarily drawn to scale.

DETAILED DESCRIPTION OF THE EXAMPLE EMBODIMENTS General Definitions

Unless defined otherwise, technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains. Definitions of common terms and techniques in molecular biology may be found in Molecular Cloning: A Laboratory Manual, 2nd edition (1989) (Sambrook, Fritsch, and Maniatis); Molecular Cloning: A Laboratory Manual, 4th edition (2012) (Green and Sambrook); Current Protocols in Molecular Biology (1987) (F. M. Ausubel et al. eds.); the series Methods in Enzymology (Academic Press, Inc.): PCR 2: A Practical Approach (1995) (M. J. MacPherson, B. D. Hames, and G. R. Taylor eds.): Antibodies, A Laboratory Manual (1988) (Harlow and Lane, eds.): Antibodies A Laboratory Manual, 2nd edition 2013 (E. A. Greenfield ed.); Animal Cell Culture (1987) (R. I. Freshney, ed.); Benjamin Lewin, Genes IX, published by Jones and Bartlet, 2008 (ISBN 0763752223); Kendrew et al. (eds.), The Encyclopedia of Molecular Biology, published by Blackwell Science Ltd., 1994 (ISBN 0632021829); Robert A. Meyers (ed.), Molecular Biology and Biotechnology: a Comprehensive Desk Reference, published by VCH Publishers, Inc., 1995 (ISBN 9780471185710); Singleton et al., Dictionary of Microbiology and Molecular Biology 2nd ed., J. Wiley & Sons (New York, N.Y. 1994), March, Advanced Organic Chemistry Reactions, Mechanisms and Structure 4th ed., John Wiley & Sons (New York, N.Y. 1992); and Marten H. Hofker and Jan van Deursen, Transgenic Mouse Methods and Protocols, 2nd edition (2011).

As used herein, the singular forms “a”, “an”, and “the” include both singular and plural referents unless the context clearly dictates otherwise.

The term “optional” or “optionally” means that the subsequent described event, circumstance or substituent may or may not occur, and that the description includes instances where the event or circumstance occurs and instances where it does not.

The recitation of numerical ranges by endpoints includes all numbers and fractions subsumed within the respective ranges, as well as the recited endpoints.

The terms “about” or “approximately” as used herein when referring to a measurable value such as a parameter, an amount, a temporal duration, and the like, are meant to encompass variations of and from the specified value, such as variations of +/−10% or less, +/−5% or less, +/−1% or less, and +/−0.1% or less of and from the specified value, insofar such variations are appropriate to perform in the disclosed invention. It is to be understood that the value to which the modifier “about” or “approximately” refers is itself also specifically, and preferably, disclosed.

As used herein, a “biological sample” may contain whole cells and/or live cells and/or cell debris. The biological sample may contain (or be derived from) a “bodily fluid”. The present invention encompasses embodiments wherein the bodily fluid is selected from amniotic fluid, aqueous humour, vitreous humour, bile, blood serum, breast milk, cerebrospinal fluid, cerumen (earwax), chyle, chyme, endolymph, perilymph, exudates, feces, female ejaculate, gastric acid, gastric juice, lymph, mucus (including nasal drainage and phlegm), pericardial fluid, peritoneal fluid, pleural fluid, pus, rheum, saliva, sebum (skin oil), semen, sputum, synovial fluid, sweat, tears, urine, vaginal secretion, vomit and mixtures of one or more thereof. Biological samples include cell cultures, bodily fluids, cell cultures from bodily fluids. Bodily fluids may be obtained from a mammal organism, for example by puncture, or other collecting or sampling procedures.

The terms “subject,” “individual,” and “patient” are used interchangeably herein to refer to a vertebrate, preferably a mammal, more preferably a human. Mammals include, but are not limited to, murines, simians, humans, farm animals, sport animals, and pets. Tissues, cells and their progeny of a biological entity obtained in vivo or cultured in vitro are also encompassed.

Any compounds, compositions, or methods provided herein can be combined with one or more of any of the other compositions and methods provided herein. The terms “subject,” “individual,” and “patient” are used interchangeably herein to refer to a vertebrate, preferably a mammal, more preferably a human. Mammals include, but are not limited to, murines, simians, humans, farm animals, sport animals, and pets. Tissues, cells and their progeny of a biological entity obtained in vivo or cultured in vitro are also encompassed.

By “decreases” is meant a negative alteration. Such alterations are by 5%, 10%, 25%, 50%, 75%, 85%, 90% or even by 100% of a reference value.

By “increases” is meant a positive alteration. Such alterations are by 5%, 10%, 25%, 50%, 75%, 85%, 90% or even by 100% of a reference value.

By “effective amount” is meant the amount of an agent required to ameliorate the symptoms of a condition, disease or disorder relative to an untreated subject or organism. The effective amount of active agent(s) used to practice the present invention varies depending upon the manner of administration, the age, body weight, and general health of the subject. Various embodiments are described hereinafter. It should be noted that the specific embodiments are not intended as an exhaustive description or as a limitation to the broader aspects discussed herein. One aspect described in conjunction with a particular embodiment is not necessarily limited to that embodiment and can be practiced with any other embodiment(s). Reference throughout this specification to “one embodiment”, “an embodiment,” “an example embodiment,” means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, appearances of the phrases “in one embodiment,” “in an embodiment,” or “an example embodiment” in various places throughout this specification are not necessarily all referring to the same embodiment, but may. Furthermore, the particular features, structures or characteristics may be combined in any suitable manner, as would be apparent to a person skilled in the art from this disclosure, in one or more embodiments. Furthermore, while some embodiments described herein include some but not other features included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the invention. For example, in the appended claims, any of the claimed embodiments can be used in any combination.

All publications, published patent documents, and patent applications cited herein are hereby incorporated by reference to the same extent as though each individual publication, published patent document, or patent application was specifically and individually indicated as being incorporated by reference.

Overview

Embodiments disclosed herein provide a novel group of cholesterol oxidoreductase (COR) enzymes, also referred to herein as an IsmA protein, involved in the metabolism of cholesterol to cholestenone, an on-pathway intermediate to the final product coprostanol. Applicants have detected these enzymes as prevalent in geographically diverse gut microbiota and encoded by a Glade of uncultured microorganisms. As described herein, individuals with coprostanol-forming microbes have significantly lower levels of fecal cholesterol and lower levels of serum total cholesterol and triglycerides. Thus, it is believed the metabolism of cholesterol by microorganisms capable of metabolizing cholesterol may play an important role in modulating both intestinal and serum cholesterol levels, directly impacting human health.

As described herein, the discovery of a widespread family of cholesterol oxidoreductase (COR) enzymes from a Glade of uncultured gut bacteria provide both a pathway that can be targeted for screening of compounds that can block the uptake of cholesterol and/or reduce serum total cholesterol and/or triglycerides. The presence of the cor genes in a microbiome predicts coprostanol presence in stool and can be used as a biomarker for microbial coprostanol formation in the intestine, removing the need for fecal metabolomics measurements. By expanding analysis to datasets with paired stool metagenomics and serum lipid measurements, Applicants have shown that the presence of COR enzymes is significantly and positively associated with decreased total cholesterol and triglyceride levels in serum, linking the presence of this microbial metabolism with changes in serum lipid levels. Hence, methods of reducing serum levels of total cholesterol and triglycerides are provided, and can include administration of coprostanol and other substrates for the COR enzymes, and/or microbes expressing a COR protein. In an embodiment, the methods comprise delivery of both coprostanol and other substrates, and one or more microbes expressing a COR protein.

Engineered Microbes

Provided herein are microbes engineered to express one or more cholesterol oxidoreductases (COR) or homologs thereof. In some embodiments, the engineered microbe is an engineered variant of a microbe within the phyla of Firmicutes, Bacteroidetes, Actinobacteria, Bacteroidetes, Proteobacteria, Fusobacteria, Verrucomicorbia, Euryarchaeota, or Ascomycota. In some embodiments, the engineered microbe is an engineered variant of a microbe within the genus Corynebacterium, Bifidobacterium, Atopobium, Faecalibacterium, Clostridium, Roseburia, Ruminoccus, Dialister, Lactobacillus, Enterococcus, Staphlyoccus, Streptococcus, Sphingobacterium, Bacteroides, Tannerella, Parabacteroides, Alistipes, Prevotella, Escherichia, Shigella, Desulfovibrio, Bilophila, Helicobacter, Fusobacterium, Pediococcus, Bacillus, Leuconostoc, Akkermansia, Methanobrevibacter, Propionibacterium, Coriobacteriaceae, Actinobacteria, Rikenellaceae, Lachnospiraceae, Firmicutes, Peptostreptococcaceae, Veillonella, Oscillospira, Dialister, Slackia, Eggerthella, Gordonibacter, Geobacter Alkaliphilus, Cantenibacterium, Holdemania,Marvinbryanti a, Symbiobacterium, Roseburia, Erysipelotrichaceae, Butyricicoccus, Sporobacter, Blautia, Dorea, Succinivibrio, Barnesiella, Biolophila, Eubacterium, or Saccharomyces. In embodiments, the engineered microbe is an engineered variant of a Lactobacillus, Bifidobacterium, Saccharomyces, Enterococcus, Streptococcus, Pediococcus, Leuconostoc, Bacillus, or Escherichia coli. Engineered microbes can be formulated for delivery, in particular as an oral formulation. The engineered microbes are engineered to express a COR protein, and can optionally be engineered to express a cholesterol transporter and/or other enzyme involved in coprostanol formation, including but not limited to any described elsewhere herein and/or cholesterol oxidase, 3-oxo-Δ4-steroid 5β-reductase, and/or any others described elsewhere herein

In particular embodiments, the engineered microbes may comprise a bacterium or bacteria formulated particularly for probiotic applications and engineered to comprise a COR protein or homolog thereof. The genus Bacillus includes Gram positive spore-forming aerobic or facultative aerobic members with claimed probiotic properties including: B. subtilis, B. coagulans, B. subtilis, B. cereus. The genus Bifidobacterium includes various Gram positive non-motile anaerobic bacteria. Strains of the genus Bifidobacterium may be used as probiotic bacteria and tend to have a variety of resistance mechanisms to bile salts. Lactobacilli may be used in some instances, including Lactobacilli such as: Lactobacillus acidophilus, L. casei, L. paracasei, L. rhamnosus, L. delbrueckii subsp. bulgaricus, L. brevis, L. johnsonii, L. plantarum and L. fermentum. Further, complete genome sequences of complete genome sequences are readily available: Lactobacillus plantarum, L. johnsonii, L. acidophilus, L. sakei, L. bulgaricus, L. salivarius. Makarova K, et al. Comparative genomics of the lactic acid bacteria. Proc. Natl. Acad. Sci. USA. 2006;103:15611-15616. doi: 10.1073/pnas.0607117103. In certain instances, stability in the small intestine is fleeting, and thus may be effective in more regular dosing/supplementation. However, their properties of high tolerance to acid and bile, capability to adhere to intestinal surfaces, withstanding low pH, gastric juice may be useful in their choice as a probiotic strain. Escherichia coli of Gram-negative family Enterobacteriaceae can be used in probiotic preparations, in one embodiment, the E. coli is Escherichia coli Nissle 1917 (EcN). Optimized E. coli expression strains can be utilized using approaches, for example, as described in Makino et al., Microb. Cell Fact. 10:32 (2011); DOI: 10.1186/1475-2859-10-32/Lactococcus is a genus of Gram-positive lactic acid bacteria. The genera Streptococcus and Enterococcus are also part of the lactic acid bacteria including Enterococcus durans and Streptococcus thermophilus.

Cholesterol Oxidoreductase Homologs

As disclosed herein, microbes can be engineered to express one or more cholesterol oxidoreductase (COR) enzymes. In embodiments, the one or more COR homologs originate from phylum Firmicutes. In one aspect, the COR homologs originate from or be in the direct neighborhood or marker species of Cluster IV or cluster XIVa Clostridium group. See, e.g. Manson, et al., Adv. Exp. Med. Biol. 2008; 635:15-28, doi: 10.1007/978-0-387-09550-9_2; Frank et al., Proc Natl Acad Sci USA. 2007 August 21; 104(34):13780-5; doi: 10.1073/pnas.0706625104, incorporated herein by reference in their entirety.

In embodiments, the one or more COR homologs originate from Eubacterium, in embodiments, Eubacterium coprostanoligenes, and in one aspect, Eubacterium coprostanoligenes HL (ATCC 51222). In embodiments, the COR is ECOP170 or a homolog thereof. The COR may comprise SEQ ID NO: 44.

In particular embodiments, the homolog has about 10%, e.g., by at least about 20%, by at least about 30%, e.g., by at least about 40%, by at least about 50%, e.g., preferably at least about 60%, at least about 70%, e.g., at least about 80%, at least about 90%, at least about 95%, such as by at least about 96%, 97%, 98%, 99% amino acid sequence identity to ECOP170 (SEQ ID NO: 44). In embodiments, the homolog has at least about 20%, at least about 30%, at least about 40%, at least about 50% at least about 60%, at least about 70%, at least about 80%, at least about 90%, at least about 95%, at least about 96%, 97%, 98%, 99% amino acid sequence identity to SEQ ID NO: 44 and comprises amino acids corresponding to S138, Y151, and/or K155 of ECOP170 (SEQ ID NO: 44). In embodiments, a COR homolog can be identified by its relation to the Cluster IV or Cluster XIVa Clostridium group, by its metabolism of cholesterol or related sterol in a sample using the metabolic pathway disclosed herein or related pathway, e.g. reduction of the 45-sterol. In embodiments, the presence of a MSF transporter or biotin transporter in close proximity aids in identification of COR homologs, see, e.g. FIG. 3. The COR homolog may be identified by its retention of conserved amino acid residues corresponding to S138, Y151, and K155 of ECOP170 (SEQ ID NO: 44).

In embodiments, the engineered microbe is selected from one or more of the sequences in Table 8. In embodiments, the engineered microbe is selected from one or more of the sequences in Table 1 and 2:

TABLE 1 25 Cholesterol oxidoreductases identified from the combined assembly of 7 human metagenomics cohorts Comments/ Closest Sequence CAG ID Sequence >G140183_ MDKNWLNFKTVIVTGASSGMGKGIAEKLIKEHGCTVIGVARSEQKMQKFVEELGEYKDRFS k105_49941_ YQLFDVSSLENWENFRKYLEDNRIQPDILINNAGILPKFDKFQHYTIEEIERAMNINFYSAVY 12 SMHILLPLLLKSPSAAIINVDSSASLMSLAGTSVYSASKSALKSLTESLREELRGKCYVGIVCPG FTKTDIFRNQGSSDEKAQKMLNMVSTSCDKMVKLIMHGVGNQRELMVFGKDAAFMNYFG RIMPVLGGRLFSAVMKMSKLPLFDGVFKED (SEQ ID NO: 1) >G140899_ MNTNWMNNKTVIITGASGGMGKGVAERLIKEHGCTVIGIARSEEKMKKVVEELGEYADKFS k105_13945_ YQLFDVSVEQNWIDFVTYLRDNNIHPDVLINNAGILPKFDRFQNYTIDYIKKAMDINFYSAV 6 YSIHALLPVLLESSTPAIINVDSSAALMTLAGTSVYSASKAALKSLSEALREELRGKCYVGIVCP GFTKTDIFRDQSSTDDKGTKMLNAVSTPCDKMVNMIMRDIKLKRPLGVHGFDAAFMNYFG RIMPVQGGRLFSTVMKVSKLPLFDPVFKD (SEQ ID NO: 2) CAG:180 >ERR2017635_ MDQNWMNNTTVIVTGASGGMGKGIAESLIVDHGCTVIGIARSEEKMKKVVEELGPNAEKFS k103_ YKLFDVSVEQNWIDFAKYLEDNDIHPDILVNNAGILPKFDRFEHYSMADIEKAMNINFYSAV 44512_ YSIHTLLPMILKSKTPGIINIDSSASLMSLAGTSVYSASKAALKSLSESLREELRGKCYVGIVCP 154 GFTKTDIFRSQDASDAKGQKMLNAVSTSCDRMVKMIMHDIRTRRPLGVHGFDAAFMNYFG RLMPVLGGHIFSSVMKISKLPLFDPVFKD (SEQ ID NO: 3) >G140757_ MWMQGKTVVITGASSGMGKGIAQRLIVDYGCNVIGIARSEQKMKKFVEELGFYAGKFSYRLF k105_15337_ DVSVRENWENFAAELKENGTKIDVLINNAGILPKFKRFDRYTIEDIENVMNINFYSAVYGSKI 2 LFDQLMESDTPAIINVDSSAALMALAGTSAYSASKSALKSLTEAMREEYRGKMYIACVCPGF TKTDIFRNQGETSGKGEKAMNMISTDCDKMVDMIVRGIAHHKALQVHGKDAFFMDVFSRL LPVNGPRLFSNVMRMAKLDLFDGVFKD (SEQ ID NO: 4) >MSMA26BX_ MWMQGKTVVITGASSGMGKGIAEKLIKEYGCNVIGVARSEVKMKKFVEELGFYAGKFSYELF R_k105_ DVSVKENWEKFSQQLKDNGTKIDVLINNAGILPKFMRFDRCSIEDIEKVMNINFYSAVYGSK 8138_1 YLFDQLMESDTPAIINVDSSAALMSLAGTSAYSASKSALKSLSEAMREEYRGKMYVGIVCPGF TKTDIFRNQGETSGKGQKVMNMISTDCDKMVKMIVNGIAHQKALQVHGKDAWAMDIFGK LLPVNGSRLFSSVMRMANIDLFDGVFKD (SEQ ID NO: 5) >G48784_ MWMQGKTVVITGASSGMGKGIAEKLIKEYGCNVIGVARSEAKMKKFVEELGFYAGKFSYQL k105_68315_ FDVSVKENWEKFSQQLKDNGTKIDVLINNAGILPKFMRFDRCSIEDIEKVMNINFYSAVYGS 28 KYLFDQLMESDTPAIINVDSSAALMSLAGTSAYSASKSALKSLSEAMREEYRGKMYVGIVCPG FTKTDIFRNQGETSGKGQKVMNMISTDCDKMVKMIVNGIAHQRALQVHGKDAWAMDIFG KLLPVNGSRLFSSVMRMANIDLFDGVFKD (SEQ ID NO: 6) >G89005_ MACWLDGKTVVVTGASGGMGAGIAATLIKKHGCTVIGIARSEPKMLKFIDELGPTYASQFSY k105_31711_ KLFDVSIKENWENFAQELQDNDTKIDILINNAGILPKFKRFDRYSYDEIEKAMNINFYSCIYS 1 TKTLLPMLLESPTPGVINIDSSAALMTLAGTSMYSASKAALKGFTEALRVEFQGKMYVSLVC PGFTKTDIFRDQGTESNSKGQKVMDMISTDCDLMVKMIMKGIEFKAPMQVHGLDAHAMSI CNRIAPVYGSKLFSAVMRMANVDIFKEVFND (SEQ ID NO: 7) >G139953_ MNECWLHGKTVVVTGASGGMGAGIAGTLIKKHGCTVIGVARNEKKMLKFIDELGDSYAKQF k105_6325_ SYKLFDVSKKENWENFYQELRDNGVKVDILINNAGILPKFKRFDKYSYEEIDMAMNINFYSS 8 VYSVKTMLPMLLESSTPAVINIDSSAALMTLAGTSMYSASKAALKGFTEALRIEFKDKMYVG LVCPGFTKTDIFRGQTGVNMDSGAKAMDMISTDCDKMVKMIMFGIEHKMPMQVHGFDAH AMSVANRLMPVYGSKLFSAVMRMANVDIFKEVFSD (SEQ ID NO: 8) >MSM5LLF6_ MNTCWLQGKTVVVTGASGGMGAGIAATLIKKHGCTVIGVARNEKKMLHFIEELGETYAKQF R_k105_ SYELFDVSVKENWENFANELNEKGIKVDILINNAGILPKFKRFDKYSYDEIERAMNINFYSCV 38794_ YSVKTMLPMLLKSSTPAIINIDSSAALMTLAGTSMYSASKAALKGFTEALRVEFQGKMYVGL 2 VCPGFTKTDIFSGQGDADMSSGAKVMDMISTDCDKMVKMIMFGIEHKAPMQVHGFDAHA MSVFNRLMPVYGSKLFSSVMRMANVDIFKEVFSD (SEQ ID NO: 9) >G88790_ MSTCWLQGKTVVVTGASGGMGAGIAATLIKKHGCTVIGVARNEKKMLKFVDELGETYAKQ k105_50573_ FSYELFDVSSKENWEKFAEELQEKGVKVDVLINNAGILPKFKRFDRYSYEEIDRAMNINFYS 1 CVYSVKTMLPMLLQSSTPAIINIDSSAALMTLAGTSMYSASKAALKGFTEALRVEFQGKMFV GLVCPGFTKTDIFSGQGDADMSNGAKVMDMISTDCDKMVKMIMFGIEHKTPMQVHGFDA HAMSVFNRLMPVYGSKLFSSIMRMANVDIFKEVFSD (SEQ ID NO: 10) >G48791_ MSDCKCCVGGDWLSGKTVIVTGASGGMGAGIAATLIKKHACRVVGVARSETKMLKFIEELG k105_70309_ PTYAEQFSYKLFDVSDKAAWESFAEELAEEGIRPSVLINNAGILPKFKRFDRYSYEEIERAMN 15 INFYSCVYGVKTFLPVLLEEEDPAIINVDSSAALMTLAGTSMYSASKAALKGFTEALRVEFKN KMYVGLVCPGFTKTDIFRDQKNEGGKGQKVMDMISTDCDLMVKMIMFGIAHKRPMMVHG LDAHAMSVFNRLLPVKGSELFSLVMKVADIDLFNDVFKD (SEQ ID NO: 11) Nether- >ERR2017598_ MSNCTNAICGDWLNGKTVIVTGASGGMGAGIAATLIKKHNCRVVGVARNEAKMLKFIEELG lands k103_ PMYKDQFSYKLFDVSSREAWENFAKELEEEGIVPSVLVNNAGILPKFKRFDRYSYDEIERAM Specific 131885_ NINFYSCVYGVKTFLPVLLTQDDPGIINVDSSAALMTLAGTSMYSSSKAALKGFTEALRVEFK Homologue 26 GKCYVGLVCPGFTKTDIFRDQSNSGGKGQKVMDMISTDCDLMVKMIMFGIEHKRPMMVHG LDAHAMSVFNRLLPVAGSELFSAIMKMADIDLFSEVFKD (SEQ ID NO: 12) CAG:251 >ERR2017655_ MSDFTKAICGDWLNGKTVIVTGASGGMGAGIAATLIKKHNCRVVGVARNEAKMLKFIEELG k103_ PMYKDQFSYKLFDVSSREAWENFASELAEEGIVPSVLVNNAGILPKFKRFDRYSYEEIEKAM 67238_ NINFYSCVYGVKTFLPVLLTQDDPGIINVDSSAALMTLAGTSMYSSSKAALKGFTEALRVEFR 7 GKCYVGLVCPGFTKTDIFRDQSNAGGKGQKVMDMISTDCDLMVKMIMFGIEHKRPMMVHG LDAHAMSIFNRLLPVAGSELFSAIMKMADIDLFSEVFDD (SEQ ID NO: 13) CAG:341 >ERR2017515_ MSDYTKALCGDWLNGKTVIVTGASGGMGAGIAATLIKKHNCRVVGVARNEAKMLKFIEELG k79_ PMYKDQFSYKLFDVSSREAWENFASELEEEGIVPSVLVNNAGILPKFKRFDRYSYEEIEKAM 109830_ NINFYSCVYGVKTFLPVLLTQDDPGIINVDSSAALMTLAGTSMYSSSKAALKGFTEALRVEFK 2 GKCYVGLVCPGFTKTDIFRDQSNAGGKGQKVMDMISTDCDLMVKMIMFGIEHKRPMMVHG LDAHAMSIFNRLLPVAGSELFSAIMKMADIDLFSEVFDN (SEQ ID NO: 14) >MSM9VZOK_ MYCWLDSKTVVVTGASGGMGAGIAATLIKKHGCKVIGVARSESKMLKFIEELGPTYAEQFSY R_k105_ KLFDVSVRENWENFYNELVEEGVQVDVLINNAGILPKFKRFDRYSYEEIERAMNINFYSCVY 36925_ SVKTFLPMLLKSSTPGIVNIDSSAALMSLAGTSMYSASKAALKGFTEALREEFRGKCYVGLVC 1 PGFTKTDIFRSQDEGSGKGEKVINMISTNCDTMVKMIMFGIEHKQALQIHGMDAHAMSVFG KLLPVNGSRLFSAIMKAADIDLFAEVFKNE (SEQ ID NO: 15) CAG:217 >G104929_ MYCWLDGKTVVVTGASGGMGAGIAATLIKKHGCTVIGVARSEPKMLKFIEELGPTYAQQFSY k105_46920_ KLFDVSVKENWENFYNELVEEGVQVDVLVNNAGILPKFKRFDRYSDEEIERAININFYSCVY 10 SVKTFLPMLLQSTDPGIVNIDSSAALMSLAGTSMYSASKAALKGFTEALREEFRGKCYVGLVC PGFTKTDIFRGQSNAGGKGEKVINMISTDCDLMVKMIMFGIEHKQALQIHGVDAHAMSVFG KLLPVNGSRLFSAVMKAADIDLFKEVFKDDAELAE (SEQ ID NO: 16) >G140022_ MSNCWLNGKTCVVTGASGGMGAGIAATLIKKHGCKVIGVARSEPKMIKFIEELGPTYAEQFS k105_20980_ YKLFDVSKKENWDNFVEELQADGVKVDILVNNAGILPKFKRFDRYDMDEIERAININFYSCV 2 YSIKAMLPMLLESPEGGIVNIDSSAALMSLAGTTMYSASKAALKGFTEALREEFRGKLFVGLV CPGFTKTDIFRDQKNEGGKGQKIMDMISTDCDLMVKMIMFGLEHKQQLQIHGMDAHAMSV FGKLLPVNGSRLFSAIMKAADIDLFKDVFND (SEQ ID NO: 17) CAG:528 >HSM67VEO_ MSNCWLSGKTCVVTGASGGMGAGIAATLIKKHGCKVIGVARSEPKMKKFIEELGPTYAEQFS R_k105_ YKLFDVSKNENWVNFAQELKDEGVKIDVLVNNAGILPKFKRFDRYEMDEIEKAININFYSCV 8042_1 YSIKALLPMLLESNDPGIVNIDSSAALMSLAGTSMYSASKAALKGFTEALREEFRGKIYVGLV CPGFTKTDIFRDQKNDGGKGQKVMDMISTDCDLMVKMIMFGIEHKQALQIHGMDAHAMS VFGKLLPVNGSRLFSAIMKAADIDLFNDVFRN (SEQ ID NO: 18) >G72720_ MSNCWLSGKTCVVTGASGGMGAGIAATLIKKHGCKVIGIARSEPKMKKFIEELGPTYAEQFS k105_63499_ YKLFDVSKNENWVNFAQELKDEGVKIDVLVNNAGILPKFKRFDRYEMDEIEKAININFYSCV 8 YSIKALLPMLLESNDPGIINIDSSAALMSLAGTSMYSASKAALKGFTEALREEFRGKVYVGLV CPGFTKTDIFRDQKNDGGKGQKIMDMISTDCDLMVKMIMFGIEHKQALQIHGMDAHAMSV FGKLLPVNGSRLFSAIMKAADIDLFNDVFRN (SEQ ID NO: 19) >G88988_ MSNWLDGKTCIVTGASGGMGAGIAATLIKKHGCRVIGVARSETKMLKFIEELGPTYAKQFSY k105_31485_ KLFDVSKNENWVNFVKELEEEDINVDVLVNNAGILPKFKRFDRYDMDEIEKAININFYSCVY 1 SIKALLPMLMKSSDPGIINIDSSAALMSLAGTSMYSASKAALKGFTESLREEFRGKIYVGLVCP GFTKTDIFRDQKNDGGKGQKVMDMISTNCDIMVKLIMFGIENKQALQVHGMDAHAMNIFG KLFPVNGSRLFSAIMKAADIDLFSEVFKD (SEQ ID NO: 20) >G36365_ MSNWLDGKTCIVTGASGGMGAGIAATLIKKHGCRVIGVARSETKMLKFIEELGPTYAEQFSY k105_42273_ KLFDVSKNENWVNFVKELEEENINVDVLVNNAGILPKFKRFDRYEMDEIEKAININFYSCVY 10 STKALLPMLMKSSDPGIINIDSSAALMSLAGTSMYSASKAALKGFTESLREEFRGKIYVGLVC PGFTKTDIFRDQKNDGGKGQKVMDMISTNCDTMVKLIMFGIEHKQALQVHGMDAHAMNV FGKLLPVNGSRLFSAIMKAADIDLFSEVFKD (SEQ ID NO: 21) >G141014_ MSNWLDGKTCIVTGASGGMGAGIAATLIKKHGCRVIGIARSEPKMLKFIEELGPTYAEQFSYK k105_89139_ LFDVSKNENWTKLVEELEEEDIQVDVLINNAGILPKFKRFDRYDMDEIENAININFYSCVYSI 1 KALLPMLLKSSDPGIVNIDSSAALMSLAGTSMYSASKAALKGFTESLREEFRGKIYVGLVCPG FTKTDIFRGQKNDGGKGQKVIDMISTDCDLMVKLIMFGIEHKQALQIHGVDAHAMNIFGKL LPVNGSRLFSAVMKAADIDLFSEVFKD (SEQ ID NO: 22) >M5M79H9K_ MSNWLDGKTCIVTGASGGMGAGIAATLIKKHGCRVIGIARSEPKMLKFIEELGPTYAQQFSY R_k105_ KLFDVSKNENWINLVSELEENNIQVDVLVNNAGILPKFKRFDRYDMSEIENAININFYSCVYS 2566_ IKALLPMLMKSSDPGIINIDSSAALMSLAGTSMYSASKAALKGFTESLREEFRGKVYVGLVCP 3 GFTKTDIFRDQKNAGGKGQKVINMISTDCDLMVKMIMFGIEHKQALQVHGVDAHAMNIFG KLLPVNGSRLFSAVMKAADIDLFSEVFKD (SEQ ID NO: 23) >G139962_ MSNWLDGKTCIVTGASGGMGAGIAATLIKKHGCRVIGIARSEPKMLKFIEELGPTYAEQFSYK k105_44646_ LFDVSKNENWIQLVSELEEENIQVDVLVNNAGILPKFKRFDRYDMDEIEKAININFYSCVYSI 2 KALLPMLMKSSDPGIINIDSSAALMSLAGTSMYSASKAALKGFTESLREEFRGKVYVGLVCPG FTKTDIFRDQKNDGGKGQKVINMISTDCDLMVKLIMFGIEHKQALQIHGVDAHAMNIFGKL LPVNGSRLFSAVMKAADIDLFSEVFKD (SEQ ID NO: 24) CAG:678 >MSMA26AX_ MSNWLDGKTCIVTGASGGMGAGIAATLIKKHGCRVIGIARSEPKMLKFIEELGPTYAEQFSYK R_k105_ LFDVSKNENWVDLAAELEKQNIQVDVLVNNAGILPKFKRFDRYDMDEIEKAININFYSCVYS 23254_ IKALLPMLMKSSDPGIINIDSSAALMSLAGTSMYSASKAALKGFTESLREEFRGKVYVGLVCP 2 GFTKTDIFRDQKNDGGKGQKVINMISTDCDLMVKLIMFGIEHKQALQIHGVDAHAMNIFGK LLPVNGSRLFSAVMKAADIDLFSEVFKD (SEQ ID NO: 25) Msp_ NODE_2899_ MSNCWLNGKTCIVTGASGGMGAGIAATLIKKHGCKVIGVARSEPKMKKFIEELGPTYAEQFS 0832 length_ YKLFDVSKNENWVEFAEELKEQGVKVDVLVNNAGILPKFKRFDRYDMQEIENAININFYSCI 3227_cov_ YSIKAFLPMLLESDDPGIINIDSSAALMSLAGTSIYSASKAALKGFTESLREEFRGKVYVGLVCP 2.929382_ GFTKTDIFRDQKNEGGKGEKIMNMISTDCDLMVKMIMFGIAHKQALQIHGMDAHAMSVFG 2 KLLPVSGSRLFSAIMKAADIDLFDDVFKD* (SEQ ID NO: 26)

TABLE 2 Additional COR genes and polypetides from metagenomic species. (See e.g. **species from FIG. 15) Genome COR gene AA seq GeversD_ GeversD_2014_ MTDIKNCVGSDWLSGKTVIVTGASGGMGAGIAATLIKKHGCHVIGVARNEAKMLKFIDE 2014_ SKBSTL024_bin.4. LGPTYAEQFSYKLFDVSDKEHWEDFAKELEEAGIRPSVLINNAGILPKFKRFDRYSYDEI SKBSTL024_ NODE_187_length_ ERAMNINFYSCVYGVKTFLPVLLQQDDPAIINVDSSAALMTLAGTSMYSASKAALKSFTE bin.4 79056_cov_ ALRVEFKGRMYVGLVCPGFTKTDIFRDQKNDGGKGQKVMDMISTDCDRMVKMIMFGI 12.9466_75 EHKRPRMVHGFDAHAMSVFNRLLPVSGSELFSMIMKAADIDLFDEVFKN (SEQ ID NO: 27) LeChatelierE_ LeChatelierE_ MANWLDGKTVVVTGASGGMGAGIAASLIKNHGCTVIGVARSEPKMLKFIEELGDTYAH 2013_ 2013_MH0448_bin. KFSYKLFDVSVKENWENFAEELKANGTKIDILVNNAGILPKFKRFDRYSYDEIDKAMNI MH0448_ 22.NODE_1125_ NFYSCVYSTKTLLPIILESETPGIINIDSSAALMTLAGTSMYSASKAALKGFTEALRTEFKG bin.22 length_28240_ KMYVGLVCPGFTKTDIFRNQGQTESNNKGAKVINMISTDCDLMVKMIMFGIEHKAPMQ cov_3.7681_7 VHGFDAHAMSIFNRLMPVAGSELFSAIMKAAKVDLFDEVFRD (SEQ ID NO: 28) LoombaR_ LoombaR_2017_ MDKNWLNFKTVIVTGASSGMGKGIAEKLIKVHGCNVIGIARSEKKMKTFVEELGEYADR 2017_ _SID5447_cka_ FSYQLFDVSSLENWVDFRQYLEDNHIKPDILINNAGILPKFDKFQHYTIEEIESAMNINFY _SID5447_ bin.41.NODE_655_ SAVYSMHTLLPLLLKSPSAAIINVDSSAALMSLAGTSVYSASKSALKALTESMREELRGK cka_ length_18959_ CYVGIVCPGFTKTDIFRNQGSSDEKAQKMLNMVSTSCDKMVKLIMNGIGKQHELMVFG bin.41 cov_9.48154_18 KDAAFMNYFGRMMPVLGGRLFSAVMKMSKLPLFDGVFKED (SEQ ID NO: 29) Obregon- Obregon- MSNCWLDGKTCIVTGASGGMGAGIAATLIKKHGCRVIGVARSEPKMLKFIEELGPVYAE TitoAJ_ TitoAJ_2015_ QFSYKLFDVSKNENWIEFAEELKENDIKVDVLVNNAGILPKFKRFDRYDMDEIQKAIDI 2015_ NO16_bin.9.NODE_ NFYSCVYSIKALLPMLMESDTPGIINIDSSAALMSLAGTSMYSASKAALKSFTESLREEFR NO16_bin.9 70_length_99956_ GKIYVGLVCPGFTKTDIFRDQKNDGGKGQKVIDMISTDCDLMVKMIMFGIEHKQALQIH cov_95.9141_72 GIDAHAMNLFGKLLPVNGSRLFSAVMKAADIDLFSEVFKD (SEQ ID NO: 30) SmitsSA_2017_ SmitsSA_ TZ_65172_bin.2. MECWLNNKTVVVTGASGGMGAGIAATLIKKHNCTVIGVARSEPKMLKFIEELGADYAS 2017_ NODE_1437_length_ KFSYRLFDVSVKENWESFAQELKDNGVKVDILVNNAGILPKFKRFDRYSYDEIEKAMNI TZ_65172_ 5605_cov_11. NFYSCIYSTKTLLPMLLESSSPAVINIDSSAALMTLAGTSMYSSSKAALRAFTEALRVEFA bin.2 0000_ID_11320_ GKMYVGLVCPGFTKTDIFRNQGAESNSNGQKVMNMISTDCDIMVKRIMRGIENKYPMQ 3 VRGFDAHAMSIANRVAPVYGSKLFSSVMRMANVDIFKEVFSD (SEQ ID NO: 31) XieH_2016_ XieH_2016_ MNTNWMNNKTVIITGASGGMGKGVAERLIKEHGCTVIGIARSEEKMKKVVEELGNYAD YSZC12003_ YSZC12003_36049_ KFSYQLFDVSVEQNWLDFVDYLKENNIHPDVLINNAGILPKFDRFQNYSIDYIKKAMDI 36049_ bin.90.NODE_65_ NFYSAVYSIHALLPLLLESSAPAIINVDSSAALMTLAGTSVYSASKAALKSLSEALREELRG _bin.90 length_172820_ KCYVGIVCPGFTKTDIFRDQSATDDKGTKMLNAVSTPCDKMVNMIMRDIKFKRPLGVH cov_17.3262_160 GFDAAFMNYFGRIMPVQGGRLFSAVMKVSKLPLFDPVFKD (SEQ ID NO: 32) VincentC_ VincentC_2016_ MDKNWLDNKTVIVTGASSGMGKGITEKLIKEHGCKVLGVARSEKKMEALVAELGEYAS 2016_ MM029.3_bin.33. QFSYQLFDVSVRENWENYVAYLNENGIKPDVLINNAGILPKFDRFEHYSVEDIEKAMNI _MM029.3_ NODE_17_length_ NFYSAVYSMHALLPLLLESSSPAIINIDSSAALMSLAGTSVYSASKAALKALTESMREEMR bin.33 85923_cov_16. GRCYIGIVCPGFTKTDIFRNQGSSDEKAQKMLNMVSTSCERMVKLIMNGIGHQRSLMVF 0000_ID_13093_1 GPDAGFMNYFGRLMPVTGGRLFSAVMKASKLPLFDGVFKD (SEQ ID NO: 33) ZellerG_ ZellerG_2014_ MKNNWLNNKTVIVTGASSGIGRGITLKLIREYNCRVLGIARSKEKMKSLTNELGSDSENF 2014_ CCIS11015875ST- SYLLFDVSKRENWKSFAEYIREKGIKPDILINNAGILPEFKKAESCSCEETERTMNINFYG CCIS1101 4-0_bin.2. AVYSMKELLPIILDSPSPAVVNIDSSAALMPLAGTSVYSASKAALKAYTEAVREELRGRCY 5875ST- NODE_1457_length_ VGVICPGFTQTDIFRSQNLTEEREQKIIGAVSTSLDYAVKRILKSIAKKRELTVIGADAKF 4- 13273_ MSIFGRLMPVKCGRAVSRVLKKSGFKLFDGVFK (SEQ ID NO: 34) 0_bin.2 cov_6.76297_3 UMGS135 UMGS135.NODE_ MSDCKCCNGDWLSGKTVIVTGASGGMGAGIAATLIKKHGCQVVGVARSESKMLAFIEEL 58_length_ GPTYAEQFSYKLFDVSVKENWENFAKELEEEGIVPSVLINNAGILPKFKRFDRYSYDEIE 105574_cov_ RAMNINFYSCVYGVKTFLPVLLQQENPAIINIDSSAALMTLAGTSMYSASKAALKGFTEA 11.399359_10 LRVEFKGKMYVGLVCPGFTKTDIFRDQKNDGGKGQKVMDMISTDCDLMVKMIMFGIE HKRPMMVHGLDAHAMSIFNRMLPVKGSELFSLVMKVADIDLFNDVFKD (SEQ ID NO: 35) UMGS98 UMGS98.NODE_66_ MSECWLHGKTVVVTGASGGMGAGIAATLIKKHGCTVIGVARSESKMLKFIDELGEEYAK length_99520_ QFSYKLFDVSVRENWESFYQELKDNGTKVDVLINNAGILPKFKRFDKYSYEEIDMAMNI cov_4.787935_ NFYSSVYSVKTMLPILLESSTPAVINIDSSAALMTLAGTSMYSASKAALKSFTEALRLEFR 67 GRMYVGLVCPGFTKTDIFRGQTGVNMDSGAKAMDMISTDCDKMVKMIMFCIEHKMPM QVHGFDAHAMSVANRIAPVYGSKLFSAVMRMANVDIFKEVFSD (SEQ ID NO: 36) UMGS233 UMG5233.NODE_ MSNCWLNGKTCIVTGASGGMGAGIAATLIKKHGCKVIGVARSEPKMKKFIEELGPTYAE 1257_length_ QFSYKLFDVSKNENWVEFAEELKEQGVKVDVLVNNAGILPKFKRFDRYDMQEIENAINI 7712_cov_13. NFYSCIYSIKAFLPMLLESDDPGIINIDSSAALMSLAGTSIYSASKAALKGFTESLREEFRG 641243_8 KVYVGLVCPGFTKTDIFRDQENEGGKGEKIMNMISTDCDLMVKMIMFGIAHKQALQIH GMDAHAMSVFGKLLPVSGSRLFSAIMKAADIDLFDDVFKD (SEQ ID NO: 37) UMGS598 UMGS598.NODE_ MSDCWLNGKTCVVTGASGGMGAGIAATLIKKHGCKVIGVARSEPKMLKFIEELGPAYAE 337_length_ QFSYKLFDVSNNDNWVEFKKELEEQGVQVDILVNNAGILPKFKRFDRYDMDEIERAINI 48542_cov_ NFYSCVYSTKAFLPMLLQSDDPGIINVDSSAALMSLAGTSMYSASKAALKGFTESLREEF 5.386351_4 RGKVFVGLVCPGFTKTDIMRDQVAQGGKGAKIIDMISTDCDLMVKMIMFGIAHKQHLQI HGVDAHAMSVFGKLLPVNGSRLFSAVMKAADVDLFNEVFKD (SEQ ID NO: 38) UMGS234 UMG5234.NODE_ MDQNWLNNKTVIVTGASSGMGKGITEKLIKEHGCTVLGVARSQQKMEALVAELGEYAD 456_length_ KFSYQLFDVSDRANWDNYLAYLQENNIQPDVLINNAGILPKFDKFQHYSIEEIEKAMNI 17773_cov_ NFYSAVYSMHALLPLLLKSSSPAIINIDSSAALMSLAGTSVYSASKAALKSLTESMREELR 5.999210_5 GKCYVGIVCPGFTKTDIFRNQGSSDEKAQKMLNMVSTSCDRMVNLIMNGISKQHSLMV FGMDAAFMNYFGRLLPVQGGRLFSAVMKMSKLPLFDGIFKED (SEQ ID NO: 39) UMGS1867 UMG51867.NODE_ MIYENWLTRATVVITGASGGLGKGIAMKLIERYDCTVIGIARNEEKMKTVVADLGDKAD 4010_length_ HFSYQLFDVSIEENWKNFAEYLKENDIHPDILINNAGILPKFDRFGNYTIEYIKKAMDINF 3846_cov_ YSAVYSMHYLMPILLKSSKAAIVNVSSSAALCSLAGTSVYTASKAALKGLTEAAREEYRG 3.064363_1 ECYIGLVCPGFTKTDIFSSQGNGDGSDSFANKAVEMISSSCDSMVRKIVHGISHKKDIMVY GVDAKLMEDGNRLAKVGTSKI (SEQ ID NO: 40)

In embodiments, the engineered microbe is engineered to express one or more of the cholesterol oxidoreductase proteins selected from SEQ ID NOs: 1-40, 42. In an embodiment, the COR proteins or a homolog thereof comprise amino acids corresponding to S138, Y151, and/or K155 of ECOP170 (SEQ ID NO:43)

In particular embodiments, the engineered microbes of the present invention are engineered to further express a cholesterol transporter. In embodiments, the cholesterol transporter may comprise an MFS transporter, see, e.g. FIG. 3. In embodiments, the transporter engineered into a microbe could aid in research, screening, and further methods of reduction in cholesterol transport. The engineered microbe may comprise a cholesterol transporter known in the art. In example embodiments, the transporter is an intestinal sterol transporter, for example Niemann-Pick C1-like 1 proteins. See, e.g. Bays et al., Exper Rev Cardiovasc Ther. 2009; 6(4):447*470 doi:10.1586/14779072.6.4.447. Similarly, liver transporter allows for secretion via ATP binding cassette A1 (ABCA1) transporter. See, e.g. V. Charlton-Menys, et al. Human cholesterol metabolism and therapeutic molecules, Exper. Phys., doi:10.1113/expphysio1.2006.035147.

Cholesterol Oxidoreductase Substrates

Cholesterol oxidoreductase substrates as disclosed herein may comprise sterols, an alcohol of steroid compounds which comprise a four hydrocarbon ring structure made up of three 6-carbon rings and a 5-carbon ring. Steroid structures comprising substitutions on any of the 6-carbon rings or 5-carbon ring and/or double bonds in the A ring of the steroid composition are also contemplated.

Sterols may comprise phytosterols, zoosterols and/or mycosterols. In certain embodiments, the COR substrate comprises a 5,6 double bond on the B ring of a sterol or steroid, i.e. Δ5-sterols or Δ5-steroids. COR substrates comprising methyl sterols and dimethylsterols are also contemplated for use in some embodiments. Methyl sterols are herein defined as sterols comprising a methyl group at carbon-4 of the A-ring of the molecule and are alternatively referred to at triterpenyl alcohols. Dimethyl sterols similarly comprise substitution at carbon-4 in the A ring of the molecule.

In embodiments, the COR substrate is cholesterol. Cholesterol is the major precursor for the synthesis of vitamin D, of the various steroid hormones, including cortisol, cortisone, and aldosterone in the adrenal glands, and of the sex hormones progesterone, estrogen, and testosterone. Cholesterol is a cholestanoid consisting of cholestane having a double bond at the 5,6-position of the B ring as well as a 3beta-hydroxy group on the A ring. Intestinal bacteria are also known to transform cholic acid and chenodeoxycholic acid into 15-20 different bile acid metabolites

Embodiments can include delivery of the reaction product of a cholesterol oxidoreductase substrate, or cholesterol oxidoreductase, and hence compounds which allow for reduction of the 5,6-double bond to compounds that could prove therapeutically useful, including, but not limited to, reduction of cholesterol serum levels or cholesterol uptake, include compounds with a Δ5 bond.

In embodiments, the COR substrate comprises the 5,6-double bond of cholesterol. In certain embodiments, the COR enzymes are involved in the reduction of the 5,6-double bond in beta-sitosterol, campesterol and stigmasterol. Other Δ5 sterols include Δ5-Aneasterol and Brassicasterol.

Coprostanol, cholesterone and/or coprostanone

Coprostanol, also referred to as coprosterol, is a saturated analog of cholesterol (C27H48O). While sharing the same basic structure as cholesterol, it lacks the 5,6-double bond and it has an additional hydrogen atom at position 5, with a cis-oriented AB ring structure. In embodiments, coprostanol is a reaction product when cholesterol is the substrate of a COR protein of the present invention. In embodiments, cholestanone and/or coprostanone is the product of a COR protein when cholesterol is the substrate.

In embodiments, coprostanol can be administered to reduce serum total cholesterol and/or triglycerides. In embodiments, a COR protein or homolog thereof, optionally provided via a naturally occurring microbe, and engineered microbe expressing the protein, or a probiotic comprising the COR protein, to increase coprostanol, cholesterone, and/or coprostanone. In embodiments, the COR protein or homolog thereof, optionally provided via a naturally occurring microbe, and engineered microbe expressing the protein, or a probiotic comprising the COR protein to reduce a sterol substrate to produce its corresponding ketone. In embodiments, compounds in the pathway for the sterol can be administered to a subject to reduce triglycerides or total serum cholesterol and/or cholesterol uptake; in particularly preferred embodiments compounds in the metabolic pathway for cholesterol are provided, in embodiments, the compounds are cholestenone, coprostanone and/or coprostanol. Intermediates in the pathways for beta-sitosterol, campesterol, stigmasterol and other 45 sterols such as 45-Aneasterol and Brassicasterol may also be utilized.

Bacteria able to reduce cholesterol to coprostanol are difficult to elucidate. Strains with these properties have been assigned to Eubacterium, and Bacteroides sp. strain D8. Bifidobacterium, Clostridium, and Lactobacillus have been reported as functioning in this capacity in vitro. Bacterial phylotypes from Lachnospiraceae and Ruminococcaceae families have also been associated with high coprostanol levels in healthy humans. Antharam, V.C., et al. An Integrated metabolomic and microbiome analysis identified specific gut microbiota associated with fecal cholesterol and coprostanol in Clostridium difficile Infection. PLoS ONE 2016, 11, e0148824.

Probiotic

Engineered microbes as described herein can also be utilized in probiotic applications. In particular embodiments, the probiotic is formulated for oral delivery, optionally a powder, bolus gel, capsule, liquid, or foodstuff. In embodiments, the foodstuff can be formulated as described, for example, in U.S. Pat. No. 6,787,151. The one or more microbes can be provided in a probiotic composition in an effective amount to reduce triglycerides and/or total cholesterol levels in the gut and/or blood.

In some embodiments, the probiotic can further comprise a prebiotic, see, e.g., Ooi, L.-G. & Liong, M.-T. Cholesterol-lowering effects of probiotics and prebiotics: a review of in vivo and in vitro findings. Int. J. Mol. Sci. 11, 2499-2522 (2010). Exemplary prebiotics include oligosaccharides (i somaltooligosaccharides, lactosucrose, xylooligosaccharides and glucooligosaccharides), sugar alcohols and polysaccharides (starch, resistant starch and modified starch), fructooligosaccharides, inulin, oligofructose, lactulose, and galactooligosaccharides.

Probiotic compositions comprising one or more microbes encoding one or more COR enzymes are provided herein. The one or more microbes of the probiotic composition can be from the phylum Firmicutes. In other embodiments, the microbes are species in the direct neighborhood or marker species for Clostridium cluster IV and cluster XIVa, see, e.g. FIG. 3, 19A. In embodiments, the IsmA-encoding species can be identified from human gut microbiimes. In particular embodiments, the one or more microbes are selected from the Metagenomic Species (MSP) MSP_0701 (SEQ ID NO: 9), MSP_0759 (SEQ ID NO: 8), MSP_0654 (SEQ ID NO: 7), MSP_0205 (SEQ ID NO: 13), MSP_0421 (SEQ ID NO: 14), MSP_0764 (SEQ ID NO: 11), MSP_0238 (SEQ ID NO: 16), MSP_0522 (SEQ ID NO: 24, 25), MSP_0672 (SEQ ID NO: 21), MSP_0602 (SEQ ID NO: 23), MSP_0645 (SEQ ID NO: 19), MSP_0476 (SEQ ID NO: 18), MSP_0640 (SEQ ID NO: 17), MSP_0676 (SEQ ID NO: 5), MSP_0638 (SEQ ID NO: 6), MSP_0562 (SEQ ID NO: 4), MSP_0196 (SEQ ID NO: 3), MSP_0832 (SEQ ID NO:26) and MSP_0741 (SEQ ID NO: 2). In embodiments, the probiotic composition may comprise Eubacterium, preferably, Eubacterium coprostanoligenes, more preferably, Eubacterium coprostanoligenes HL (ATCC 51222). In embodiments, the probiotic composition may comprise ECOP1070 (SEQ ID NO: 44)

Examples of engineered probiotics using a safe host bacterium to deliver a protein or contribute a metabolic activity may comprise E. coli Nissle 1917, see, e.g. Kurtz et al., Science Transl. Med. 11:475, 16 Jan 2019; DOI: 10.1126/scitranslmed.aau7975. Lactococcus lactis has also been utilized for probiotic administration, see, e.g. Cook et al, Front. Immun. “Lactococcus lactis as a Versatile Vehicle for Tolerogenic Immunotherapy,” 17 Jan 2018; DOI: 10.3389/fimmu.2017.01961. Lactobacillus gasseri has been engineered to express an anti-inflammatory protein from S. thermophilus to reduce colitis symptoms and is thus a useful species for probiotic applications. See, e.g. Carroll et al., Am J. Phys., Oct. 1, 2007; DOI: 10.1152/ajpgi.00132.2007. Engineered probiotics, natural microbes producing enzyme and/or purified enzymes have been administered in treatment of C. difficile infection, see, e.g. Mullish et al, Gut 2019:0:1-10. DOI:10.1136/gutnjl-2018-317842, and those approaches can be adapted for use with the microbes, COR proteins and probiotics of the current disclosure. Similarly, administration of L. rhamnosus as a probiotic has been used in regulation of cholesterol metabolism. See, Park S, Kang J, Choi S, Park H, Hwang E, Kang Y, et al. (2018) Cholesterol-lowering effect of Lactobacillus rhamnosus BFE5264 and its influence on the gut microbiome and propionate level in a murine model. PLoS ONE 13(8): e0203150; doi: 10.1371/j ournal .pone .0203150.

The engineered microbes may be engineered to inducibly or constitutively express one or more COR enzymes, and optionally one or more enzymes in the cholesterol metabolic pathway described herein. In embodiments, the engineered microbes can be designed with a kill switch that responds to environmental cues. See, e.g. Stirling et al., Rational Design of Evolutionarily Stable Microbial Kill Switches Molecular Cell 68:686-697, Nov. 16, 2017. Temperature sensitive mutants can be utilized to control growth in a temperature-dependent manner. See, e.g. Stirling at 691-692. In one embodiment, the engineered microbes can be engineered using CRISPR systems.

CRISPR-Cas Modification

In some embodiments, a polynucleotide of the present invention, or a polynucleotide encoding a polypeptide as described elsewhere herein, can be modified using a CRISPR-Cas and/or Cas-based system.

In general, a CRISPR-Cas or CRISPR system as used in herein and in documents, such as International Patent Publication No. WO 2014/093622 (PCT/US2013/074667), refers collectively to transcripts and other elements involved in the expression of or directing the activity of CRISPR-associated (“Cas”) genes, including sequences encoding a Cas gene, a tracr (trans-activating CRISPR) sequence (e.g. tracrRNA or an active partial tracrRNA), a tracr-mate sequence (encompassing a “direct repeat” and a tracrRNA-processed partial direct repeat in the context of an endogenous CRISPR system), a guide sequence (also referred to as a “spacer” in the context of an endogenous CRISPR system), or “RNA(s)” as that term is herein used (e.g., RNA(s) to guide Cas, such as Cas9, e.g. CRISPR RNA and transactivating (tracr) RNA or a single guide RNA (sgRNA) (chimeric RNA)) or other sequences and transcripts from a CRISPR locus. In general, a CRISPR system is characterized by elements that promote the formation of a CRISPR complex at the site of a target sequence (also referred to as a protospacer in the context of an endogenous CRISPR system). See, e.g, Shmakov et al. (2015) “Discovery and Functional Characterization of Diverse Class 2 CRISPR-Cas Systems”, Molecular Cell, DOI: dx.doi. org/10.1016/j .molce1.2015.10.008.

CRISPR-Cas systems can generally fall into two classes based on their architectures of their effector molecules, which are each further subdivided by type and subtype. The two class are Class 1 and Class 2. Class 1 CRISPR-Cas systems have effector modules composed of multiple Cas proteins, some of which form crRNA-binding complexes, while Class 2 CRISPR-Cas systems include a single, multi-domain crRNA-binding protein.

In some embodiments, the CRISPR-Cas system that can be used to modify a polynucleotide of the present invention described herein can be a Class 1 CRISPR-Cas system. In some embodiments, the CRISPR-Cas system that can be used to modify a polynucleotide of the present invention described herein can be a Class 2 CRISPR-Cas system.

CRISPR Systems

In general, a CRISPR-Cas or CRISPR system as used in herein and in documents, such as WO 2014/093622 (PCT/US2013/074667), refers collectively to transcripts and other elements involved in the expression of or directing the activity of CRISPR-associated (“Cas”) genes, including sequences encoding a Cas gene, a tracr (trans-activating CRISPR) sequence (e.g. tracrRNA or an active partial tracrRNA), a tracr-mate sequence (encompassing a “direct repeat” and a tracrRNA-processed partial direct repeat in the context of an endogenous CRISPR system), a guide sequence (also referred to as a “spacer” in the context of an endogenous CRISPR system), or “RNA(s)” as that term is herein used (e.g., RNA(s) to guide Cas, such as Cas9, e.g. CRISPR RNA and transactivating (tracr) RNA or a single guide RNA (sgRNA) (chimeric RNA)) or other sequences and transcripts from a CRISPR locus. In general, a CRISPR system is characterized by elements that promote the formation of a CRISPR complex at the site of a target sequence (also referred to as a protospacer in the context of an endogenous CRISPR system). See, e.g, Shmakov et al. (2015) “Discovery and Functional Characterization of Diverse Class 2 CRISPR-Cas Systems”, Molecular Cell, DOI: dx.doi.org/10.1016/j.molce1.2015.10.008.

Class 1 Systems

The methods, systems, and tools provided herein may be designed for use with Class 1 CRISPR proteins. In certain example embodiments, the Class 1 system may be Type I, Type III or Type IV Cas proteins as described in Makarova et al. “Evolutionary classification of CRISPR-Cas systems: a burst of class 2 and derived variants” Nature Reviews Microbiology, 18:67-81 (February 2020)., incorporated in its entirety herein by reference, and particularly as described in FIG. 1, p. 326. The Class 1 systems typically use a multi-protein effector complex, which can, in some embodiments, include ancillary proteins, such as one or more proteins in a complex referred to as a CRISPR-associated complex for antiviral defense (Cascade), one or more adaptation proteins (e.g. Casl, Cas2, RNA nuclease), and/or one or more accessory proteins (e.g. Cas 4, DNA nuclease), CRISPR associated Rossman fold (CARF) domain containing proteins, and/or RNA transcriptase. Although Class 1 systems have limited sequence similarity, Class 1 system proteins can be identified by their similar architectures, including one or more Repeat Associated Mysterious Protein (RAMP) family subunits, e.g. Cas 5, Cas6, Cas7. RAMP proteins are characterized by having one or more RNA recognition motif domains. Large subunits (for example cas8 or cas10) and small subunits (for example, cas11) are also typical of Class 1 systems. See, e.g., FIGS. 1 and 2. Koonin EV, Makarova KS. 2019 Origins and evolution of CRISPR-Cas systems. Phil. Trans. R. Soc. B 374: 20180087, DOI: 10.1098/rstb.2018.0087. In one aspect, Class 1 systems are characterized by the signature protein Cas3. The Cascade in particular Classl proteins can comprise a dedicated complex of multiple Cas proteins that binds pre-crRNA and recruits an additional Cas protein, for example Cas6 or Cas5, which is the nuclease directly responsible for processing pre-crRNA. In one aspect, the Type I CRISPR protein comprises an effector complex comprises one or more Cas5 subunits and two or more Cas? subunits. Class 1 subtypes include Type I-A, I-B, I-C, I-U, I-D, I-E, and I-F, Type IV-A and IV-B, and Type III-A,

III-C, and III-B. Class 1 systems also include CRISPR-Cas variants, including Type I-A, I-B, I-E, I-F and I-U variants, which can include variants carried by transposons and plasmids, including versions of subtype I-F encoded by a large family of Tn7-like transposon and smaller groups of Tn7-like transposons that encode similarly degraded subtype I-B systems. Peters et al., PNAS 114 (35) (2017); DOI: 10.1073/pnas.1709035114; see also, Makarova et al, the CRISPR Journal, v. 1 , n5, FIG. 5.

Class 2 Systems

The compositions, systems, and methods described in greater detail elsewhere herein can be designed and adapted for use with Class 2 CRISPR-Cas systems. Thus, in some embodiments, the CRISPR-Cas system is a Class 2 CRISPR-Cas system. Class 2 systems are distinguished from Class 1 systems in that they have a single, large, multi-domain effector protein. In certain example embodiments, the Class 2 system can be a Type II, Type V, or Type VI system, which are described in Makarova et al. “Evolutionary classification of CRISPR-Cas systems: a burst of class 2 and derived variants” Nature Reviews Microbiology, 18:67-81 (Feb 2020), incorporated herein by reference. Each type of Class 2 system is further divided into subtypes. See Markova et al. 2020, particularly at Figure. 2. Class 2, Type II systems can be divided into 4 subtypes: II-A, II-B, II-C1, and II-C2. Class 2, Type V systems can be divided into 17 subtypes: V-A, V-B1, V-B2, V-C, V-D, V-E, V-F1, V-F 1(V-U3), V-F2, V-F3, V-G, V-H, V-I, V-K (V-U5), V-U1, V-U2, and V-U4. Class 2, Type IV systems can be divided into 5 subtypes: VI-A, VI-B1, VI-B2, VI-C, and VI-D.

The distinguishing feature of these types is that their effector complexes consist of a single, large, multi-domain protein. Type V systems differ from Type II effectors (e.g., Cas9), which contain two nuclear domains that are each responsible for the cleavage of one strand of the target DNA, with the HNH nuclease inserted inside the Ruv-C like nuclease domain sequence. The Type V systems (e.g., Cas12) only contain a RuvC-like nuclease domain that cleaves both strands. Type VI (Cas13) are unrelated to the effectors of Type II and V systems and contain two HEPN domains and target RNA. Cas13 proteins also display collateral activity that is triggered by target recognition. Some Type V systems have also been found to possess this collateral activity with two single-stranded DNA in in vitro contexts.

In some embodiments, the Class 2 system is a Type II system. In some embodiments, the Type II CRISPR-Cas system is a II-A CRISPR-Cas system. In some embodiments, the Type II CRISPR-Cas system is a II-B CRISPR-Cas system. In some embodiments, the Type II CRISPR-Cas system is a II-C1 CRISPR-Cas system. In some embodiments, the Type II CRISPR-Cas system is a II-C2 CRISPR-Cas system. In some embodiments, the Type II system is a Cas9 system. In some embodiments, the Type II system includes a Cas9.

In some embodiments, the Class 2 system is a Type V system. In some embodiments, the Type V CRISPR-Cas system is a V-A CRISPR-Cas system. In some embodiments, the Type V CRISPR-Cas system is a V-B1 CRISPR-Cas system. In some embodiments, the Type V CRISPR-Cas system is a V-B2 CRISPR-Cas system. In some embodiments, the Type V CRISPR-Cas system is a V-C CRISPR-Cas system. In some embodiments, the Type V CRISPR-Cas system is a V-D CRISPR-Cas system. In some embodiments, the Type V CRISPR-Cas system is a V-E CRISPR-Cas system. In some embodiments, the Type V CRISPR-Cas system is a V-Fl CRISPR-Cas system. In some embodiments, the Type V CRISPR-Cas system is a V-Fl (V-U3) CRISPR-Cas system. In some embodiments, the Type V CRISPR-Cas system is a V-F2 CRISPR-Cas system. In some embodiments, the Type V CRISPR-Cas system is a V-F3 CRISPR-Cas system. In some embodiments, the Type V CRISPR-Cas system is a V-G CRISPR-Cas system. In some embodiments, the Type V CRISPR-Cas system is a V-H CRISPR-Cas system. In some embodiments, the Type V CRISPR-Cas system is a V-I CRISPR-Cas system. In some embodiments, the Type V CRISPR-Cas system is a V-K (V-U5) CRISPR-Cas system. In some embodiments, the Type V CRISPR-Cas system is a V-Ul CRISPR-Cas system. In some embodiments, the Type V CRISPR-Cas system is a V-U2 CRISPR-Cas system. In some embodiments, the Type V CRISPR-Cas system is a V-U4 CRISPR-Cas system. In some embodiments, the Type V CRISPR-Cas system includes a Cas12a (Cpf1), Cas12b (C2c1), Cas12c (C2c3), Cas12d (CasY), Cas12e (CasX), Cas14, and/or CasΦ.

In some embodiments the Class 2 system is a Type VI system. In some embodiments, the Type VI CRISPR-Cas system is a VI-A CRISPR-Cas system. In some embodiments, the Type VI CRISPR-Cas system is a VI-B1 CRISPR-Cas system. In some embodiments, the Type VI CRISPR-Cas system is a VI-B2 CRISPR-Cas system. In some embodiments, the Type VI CRISPR-Cas system is a VI-C CRISPR-Cas system. In some embodiments, the Type VI CRISPR-Cas system is a VI-D CRISPR-Cas system. In some embodiments, the Type VI CRISPR-Cas system includes a Cas13a (C2c2), Cas13b (Group 29/30), Cas13c, and/or Cas13d.

Zinc Finger Nucleases

In some embodiments, the polynucleotide is modified using a Zinc Finger nuclease or system thereof. One type of programmable DNA-binding domain is provided by artificial zinc-finger (ZF) technology, which involves arrays of ZF modules to target new DNA-binding sites in the genome. Each finger module in a ZF array targets three DNA bases. A customized array of individual zinc finger domains is assembled into a ZF protein (ZFP).

ZFPs can comprise a functional domain. The first synthetic zinc finger nucleases (ZFNs) were developed by fusing a ZF protein to the catalytic domain of the Type IIS restriction enzyme Fokl. (Kim, Y. G. et al., 1994, Chimeric restriction endonuclease, Proc. Natl. Acad. Sci. U.S.A. 91, 883-887; Kim, Y. G. et al., 1996, Hybrid restriction enzymes: zinc finger fusions to Fok I cleavage domain. Proc. Natl. Acad. Sci. U.S.A. 93, 1156-1160). Increased cleavage specificity can be attained with decreased off target activity by use of paired ZFN heterodimers, each targeting different nucleotide sequences separated by a short spacer. (Doyon, Y. et al., 2011, Enhancing zinc-finger-nuclease activity with improved obligate heterodimeric architectures. Nat. Methods 8, 74-79). ZFPs can also be designed as transcription activators and repressors and have been used to target many genes in a wide variety of organisms. Exemplary methods of genome editing using ZFNs can be found for example in U.S. Pat. Nos. 6,534,261, 6,607,882, 6,746,838, 6,794,136, 6,824,978, 6,866,997, 6,933,113, 6,979,539, 7,013,219, 7,030,215, 7,220,719, 7,241,573, 7,241,574, 7,585,849, 7,595,376, 6,903,185, and 6,479,626, all of which are specifically incorporated by reference.

Templates

In some embodiments, the composition for engineering cells comprise a template, e.g., a recombination template. A template may be a component of another vector as described herein, contained in a separate vector, or provided as a separate polynucleotide. In some embodiments, a recombination template is designed to serve as a template in homologous recombination, such as within or near a target sequence nicked or cleaved by a nucleic acid-targeting effector protein as a part of a nucleic acid-targeting complex. In an exemplary embodiments, such templates can be utilized for insertion of polynucleotides encoding COR homologs into species suitable for probiotics or other compositions for us in accordance with the invention disclosed herein. In an embodiment, the template nucleic acid alters the sequence of the target position. In an embodiment, the template nucleic acid results in the incorporation of a modified, or non-naturally occurring base into the target nucleic acid.

The template sequence may undergo a breakage mediated or catalyzed recombination with the target sequence. In an embodiment, the template nucleic acid may include sequence that corresponds to a site on the target sequence that is cleaved by a Cas protein mediated cleavage event. In an embodiment, the template nucleic acid may include a sequence that corresponds to both, a first site on the target sequence that is cleaved in a first Cas protein mediated event, and a second site on the target sequence that is cleaved in a second Cas protein mediated event.

In certain embodiments, the template nucleic acid can include a sequence which results in an alteration in the coding sequence of a translated sequence, e.g., one which results in the substitution of one amino acid for another in a protein product, e.g., transforming a mutant allele into a wild type allele, transforming a wild type allele into a mutant allele, and/or introducing a stop codon, insertion of an amino acid residue, deletion of an amino acid residue, or a nonsense mutation. In certain embodiments, the template nucleic acid can include a sequence which results in an alteration in a non-coding sequence, e.g., an alteration in an exon or in a 5′ or 3′ non-translated or non-transcribed region. Such alterations include an alteration in a control element, e.g., a promoter, enhancer, and an alteration in a cis-acting or trans-acting control element.

A template nucleic acid having homology with a target position in a target gene may be used to alter the structure of a target sequence. The template sequence may be used to alter an unwanted structure, e.g., an unwanted or mutant nucleotide. The template nucleic acid may include a sequence which, when integrated, results in decreasing the activity of a positive control element; increasing the activity of a positive control element; decreasing the activity of a negative control element; increasing the activity of a negative control element; decreasing the expression of a gene; increasing the expression of a gene; increasing resistance to a disorder or disease; increasing resistance to viral entry; correcting a mutation or altering an unwanted amino acid residue conferring, increasing, abolishing or decreasing a biological property of a gene product, e.g., increasing the enzymatic activity of an enzyme, or increasing the ability of a gene product to interact with another molecule.

The template nucleic acid may include a sequence which results in a change in sequence of 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1 1, 12 or more nucleotides of the target sequence.

A template polynucleotide may be of any suitable length, such as about or more than about 10, 15, 20, 25, 50, 75, 100, 150, 200, 500, 1000, or more nucleotides in length. In an embodiment, the template nucleic acid may be 20+/−10, 30+/−10, 40+/−10, 50+/−10, 60+/−10, 70+/−10, 80+/−10, 90+/−10, 100+/−10, 1 10+/−10, 120+/−10, 130+/−10, 140+/−10, 150+/−10, 160+/−10, 170+/−10, 1 80+/−10, 190+/−10, 200+/−10, 210+/−10, of 220+/−10 nucleotides in length. In an embodiment, the template nucleic acid may be 30+/−20, 40+/−20, 50+/−20, 60+/−20, 70+/−20, 80+/−20, 90+/−20, 100+/−20, 1 10+/−20, 120+/−20, 130+/−20, 140+/−20, I 50+/−20, 160+/−20, 170+/−20, 180+/−20, 190+/−20, 200+/−20, 210+/−20, of 220+/−20 nucleotides in length. In an embodiment, the template nucleic acid is 10 to 1 ,000, 20 to 900, 30 to 800, 40 to 700, 50 to 600, 50 to 500, 50 to 400, 50 to300, 50 to 200, or 50 to 100 nucleotides in length.

In some embodiments, the template polynucleotide is complementary to a portion of a polynucleotide comprising the target sequence. When optimally aligned, a template polynucleotide might overlap with one or more nucleotides of a target sequences (e.g. about or more than about 1, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100 or more nucleotides). In some embodiments, when a template sequence and a polynucleotide comprising a target sequence are optimally aligned, the nearest nucleotide of the template polynucleotide is within about 1, 5, 10, 15, 20, 25, 50, 75, 100, 200, 300, 400, 500, 1000, 5000, 10000, or more nucleotides from the target sequence.

The exogenous polynucleotide template comprises a sequence to be integrated (e.g., a mutated gene). The sequence for integration may be a sequence endogenous or exogenous to the cell. Examples of a sequence to be integrated include polynucleotides encoding a protein or a non-coding RNA (e.g., a microRNA). Thus, the sequence for integration may be operably linked to an appropriate control sequence or sequences. Alternatively, the sequence to be integrated may provide a regulatory function.

An upstream or downstream sequence may comprise from about 20 bp to about 2500 bp, for example, about 50, 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100, 2200, 2300, 2400, or 2500 bp. In some methods, the exemplary upstream or downstream sequence have about 200 bp to about 2000 bp, about 600 bp to about 1000 bp, or more particularly about 700 bp to about 1000.

An upstream or downstream sequence may comprise from about 20 bp to about 2500 bp, for example, about 50, 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100, 2200, 2300, 2400, or 2500 bp. In some methods, the exemplary upstream or downstream sequence have about 200 bp to about 2000 bp, about 600 bp to about 1000 bp, or more particularly about 700 bp to about 1000

In certain embodiments, one or both homology arms may be shortened to avoid including certain sequence repeat elements. For example, a 5′ homology arm may be shortened to avoid a sequence repeat element. In other embodiments, a 3′ homology arm may be shortened to avoid a sequence repeat element. In some embodiments, both the 5′ and the 3′ homology arms may be shortened to avoid including certain sequence repeat elements.

In some methods, the exogenous polynucleotide template may further comprise a marker. Such a marker may make it easy to screen for targeted integrations. Examples of suitable markers include restriction sites, fluorescent proteins, or selectable markers. The exogenous polynucleotide template of the disclosure can be constructed using recombinant techniques (see, for example, Sambrook et al., 2001 and Ausubel et al., 1996).

In certain embodiments, a template nucleic acid for correcting a mutation may designed for use as a single-stranded oligonucleotide. When using a single-stranded oligonucleotide, 5′ and 3′ homology arms may range up to about 200 base pairs (bp) in length, e.g., at least 25, 50, 75, 100, 125, 150, 175, or 200 by in length.

Suzuki et al. describe in vivo genome editing via CRISPR/Cas9 mediated homology-independent targeted integration (2016, Nature 540:144-149).

TALE Nucleases

In some embodiments, a TALE nuclease or TALE nuclease system can be used to modify a polynucleotide. In some embodiments, the methods provided herein use isolated, non-naturally occurring, recombinant or engineered DNA binding proteins that comprise TALE monomers or TALE monomers or half monomers as a part of their organizational structure that enable the targeting of nucleic acid sequences with improved efficiency and expanded specificity.

Naturally occurring TALEs or “wild type TALEs” are nucleic acid binding proteins secreted by numerous species of proteobacteria. TALE polypeptides contain a nucleic acid binding domain composed of tandem repeats of highly conserved monomer polypeptides that are predominantly 33, 34 or 35 amino acids in length and that differ from each other mainly in amino acid positions 12 and 13. In advantageous embodiments the nucleic acid is DNA. As used herein, the term “polypeptide monomers”, “TALE monomers” or “monomers” will be used to refer to the highly conserved repetitive polypeptide sequences within the TALE nucleic acid binding domain and the term “repeat variable di-residues” or “RVD” will be used to refer to the highly variable amino acids at positions 12 and 13 of the polypeptide monomers. As provided throughout the disclosure, the amino acid residues of the RVD are depicted using the IUPAC single letter code for amino acids. A general representation of a TALE monomer which is comprised within the DNA binding domain is X₁₋₁₁-(X₁₂X₁₃)-X₁₄₋₃₃ or ₃₄ or ₃₅, where the subscript indicates the amino acid position and X represents any amino acid. X₁₂X₁₃ indicate the RVDs. In some polypeptide monomers, the variable amino acid at position 13 is missing or absent and in such monomers, the RVD consists of a single amino acid. In such cases the RVD may be alternatively represented as X*, where X represents X₁₂ and (*) indicates that X₁₃ is absent. The DNA binding domain comprises several repeats of TALE monomers and this may be represented as (X₁₋₁₁-(X₁₂X₁₃)-X₁₄₋₃₃ or ₃₄ or ₃₅)_(z), where in an advantageous embodiment, z is at least 5 to 40. In a further advantageous embodiment, z is at least 10 to 26.

The TALE monomers can have a nucleotide binding affinity that is determined by the identity of the amino acids in its RVD. For example, polypeptide monomers with an RVD of NI can preferentially bind to adenine (A), monomers with an RVD of NG can preferentially bind to thymine (T), monomers with an RVD of HD can preferentially bind to cytosine (C) and monomers with an RVD of NN can preferentially bind to both adenine (A) and guanine (G). In some embodiments, monomers with an RVD of IG can preferentially bind to T. Thus, the number and order of the polypeptide monomer repeats in the nucleic acid binding domain of a TALE determines its nucleic acid target specificity. In some embodiments, monomers with an RVD of NS can recognize all four base pairs and can bind to A, T, G or C. The structure and function of TALEs is further described in, for example, Moscou et al., Science 326:1501 (2009); Boch et al., Science 326:1509-1512 (2009); and Zhang et al., Nature Biotechnology 29:149-153 (2011).

Meganucleases

In some embodiments, a meganuclease or system thereof can be used to modify a polynucleotide. Meganucleases, which are endodeoxyribonucleases characterized by a large recognition site (double-stranded DNA sequences of 12 to 40 base pairs). Exemplary methods for using meganucleases can be found in U.S. Pat. Nos. 8,163,514, 8,133,697, 8,021,867, 8,119,361, 8,119,381, 8,124,369, and 8,129,134, which are specifically incorporated herein by reference.

RNAi

In certain embodiments, the genetic modifying agent is RNAi (e.g., shRNA). As used herein, “gene silencing” or “gene silenced” in reference to an activity of an RNAi molecule, for example a siRNA or miRNA refers to a decrease in the mRNA level in a cell for a target gene by at least about 5%, about 10%, about 20%, about 30%, about 40%, about 50%, about 60%, about 70%, about 80%, about 90%, about 95%, about 99%, about 100% of the mRNA level found in the cell without the presence of the miRNA or RNA interference molecule. In one preferred embodiment, the mRNA levels are decreased by at least about 70%, about 80%, about 90%, about 95%, about 99%, about 100%.

As used herein, the term “RNAi” refers to any type of interfering RNA, including but not limited to, siRNAi, shRNAi, endogenous microRNA and artificial microRNA. For instance, it includes sequences previously identified as siRNA, regardless of the mechanism of down-stream processing of the RNA (i.e. although siRNAs are believed to have a specific method of in vivo processing resulting in the cleavage of mRNA, such sequences can be incorporated into the vectors in the context of the flanking sequences described herein). The term “RNAi” can include both gene silencing RNAi molecules, and also RNAi effector molecules which activate the expression of a gene.

In particular embodiments, the guide molecule is modified, e.g., by one or more aptamer(s) designed to improve guide molecule delivery, including delivery across the cellular membrane, to intracellular compartments, or into the nucleus. Such a structure can include, either in addition to the one or more aptamer(s) or without such one or more aptamer(s), moiety(ies) so as to render the guide molecule deliverable, inducible or responsive to a selected effector. The invention accordingly comprehends an guide molecule that responds to normal or pathological physiological conditions, including without limitation pH, hypoxia, 02 concentration, temperature, protein concentration, enzymatic concentration, lipid structure, light exposure, mechanical disruption (e.g. ultrasound waves), magnetic fields, electric fields, or electromagnetic radiation.

Light responsiveness of an inducible system may be achieved via the activation and binding of cryptochrome-2 and CIB 1. Blue light stimulation induces an activating conformational change in cryptochrome-2, resulting in recruitment of its binding partner CIB1. This binding is fast and reversible, achieving saturation in <15 sec following pulsed stimulation and returning to baseline <15 min after the end of stimulation. These rapid binding kinetics result in a system temporally bound only by the speed of transcription/translation and transcript/protein degradation, rather than uptake and clearance of inducing agents. Crytochrome-2 activation is also highly sensitive, allowing for the use of low light intensity stimulation and mitigating the risks of phototoxicity. Further, in a context such as the intact mammalian brain, variable light intensity may be used to control the size of a stimulated region, allowing for greater precision than vector delivery alone may offer.

The invention contemplates energy sources such as electromagnetic radiation, sound energy or thermal energy to induce the guide. Advantageously, the electromagnetic radiation is a component of visible light. In a preferred embodiment, the light is a blue light with a wavelength of about 450 to about 495 nm. In an especially preferred embodiment, the wavelength is about 488 nm. In another preferred embodiment, the light stimulation is via pulses. The light power may range from about 0-9 mW/cm2. In a preferred embodiment, a stimulation paradigm of as low as 0.25 sec every 15 sec should result in maximal activation.

The chemical or energy sensitive guide may undergo a conformational change upon induction by the binding of a chemical source or by the energy allowing it act as a guide and have the CRISPR-Cas system or complex function. The invention can involve applying the chemical source or energy so as to have the guide function and the CRISPR-Cas system or complex function; and optionally further determining that the expression of the genomic locus is altered.

There are several different designs of this chemical inducible system: 1. ABI-PYL based system inducible by Abscisic Acid (ABA) (see, e.g., stke. sciencemag. org/cgi/content/ab stract/sigtrans;4/164/r52), 2. FKBP-FRB based system inducible by rapamycin (or related chemicals based on rapamycin) (see, e.g., nature.com/nmeth/journal/v2/n6/full/nmeth763.html), 3. GID1-GAI based system inducible by Gibberellin (GA) (see, e.g., nature.com/nchembio/journal/v8/n5/full/nchembio.922.html). A chemical inducible system can be an estrogen receptor (ER) based system inducible by 4-hydroxytamoxifen (4OHT) (see, e.g., pnas.org/content/104/3/1027. abstract). A mutated ligand-binding domain of the estrogen receptor called ERT2 translocates into the nucleus of cells upon binding of 4-hydroxytamoxifen. In further embodiments of the invention any naturally occurring or engineered derivative of any nuclear receptor, thyroid hormone receptor, retinoic acid receptor, estrogen receptor, estrogen-related receptor, glucocorticoid receptor, progesterone receptor, androgen receptor may be used in inducible systems analogous to the ER based inducible system. Another inducible system is based on the design using Transient receptor potential (TRP) ion channel based system inducible by energy, heat or radio-wave (see, e.g., sciencemag.org/content/336/6081/604). These TRP family proteins respond to different stimuli, including light and heat. When this protein is activated by light or heat, the ion channel will open and allow the entering of ions such as calcium into the plasma membrane. This influx of ions will bind to intracellular ion interacting partners linked to a polypeptide including the guide and the other components of the CRISPR-Cas complex or system, and the binding will induce the change of sub-cellular localization of the polypeptide, leading to the entire polypeptide entering the nucleus of cells. Once inside the nucleus, the guide protein and the other components of the CRISPR-Cas complex will be active and modulating target gene expression in cells.

While light activation may be an advantageous embodiment, sometimes it may be disadvantageous especially for in vivo applications in which the light may not penetrate the skin or other organs. In this instance, other methods of energy activation are contemplated, in particular, electric field energy and/or ultrasound which have a similar effect.

Electric field energy is preferably administered substantially as described in the art, using one or more electric pulses of from about 1 Volt/cm to about 10 kVolts/cm under in vivo conditions. Instead of or in addition to the pulses, the electric field may be delivered in a continuous manner. The electric pulse may be applied for between 1μs and 500 milliseconds, preferably between 1μs and 100 milliseconds. The electric field may be applied continuously or in a pulsed manner for 5 about minutes.

As used herein, ‘electric field energy’ is the electrical energy to which a cell is exposed. Preferably the electric field has a strength of from about 1 Volt/cm to about 10 kVolts/cm or more under in vivo conditions (see WO97/49450).

As used herein, the term “electric field” includes one or more pulses at variable capacitance and voltage and including exponential and/or square wave and/or modulated wave and/or modulated square wave forms. References to electric fields and electricity should be taken to include reference the presence of an electric potential difference in the environment of a cell. Such an environment may be set up by way of static electricity, alternating current (AC), direct current (DC), etc, as known in the art. The electric field may be uniform, non-uniform or otherwise, and may vary in strength and/or direction in a time dependent manner.

Single or multiple applications of electric field, as well as single or multiple applications of ultrasound are also possible, in any order and in any combination. The ultrasound and/or the electric field may be delivered as single or multiple continuous applications, or as pulses (pulsatile delivery).

Electroporation has been used in both in vitro and in vivo procedures to introduce foreign material into living cells. With in vitro applications, a sample of live cells is first mixed with the agent of interest and placed between electrodes such as parallel plates. Then, the electrodes apply an electrical field to the cell/implant mixture. Examples of systems that perform in vitro electroporation include the Electro Cell Manipulator ECM600 product, and the Electro Square Porator T820, both made by the BTX Division of Genetronics, Inc (see U.S. Pat. No 5,869,326).

The known electroporation techniques (both in vitro and in vivo) function by applying a brief high voltage pulse to electrodes positioned around the treatment region. The electric field generated between the electrodes causes the cell membranes to temporarily become porous, whereupon molecules of the agent of interest enter the cells. In known electroporation applications, this electric field comprises a single square wave pulse on the order of 1000 V/cm, of about 100 .mu.s duration. Such a pulse may be generated, for example, in known applications of the Electro Square Porator T820.

Preferably, the electric field has a strength of from about 1 V/cm to about 10 kV/cm under in vitro conditions. Thus, the electric field may have a strength of 1 V/cm, 2 V/cm, 3 V/cm, 4 V/cm, 5 V/cm, 6 V/cm, 7 V/cm, 8 V/cm, 9 V/cm, 10 V/cm, 20 V/cm, 50 V/cm, 100 V/cm, 200 V/cm, 300 V/cm, 400 V/cm, 500 V/cm, 600 V/cm, 700 V/cm, 800 V/cm, 900 V/cm, 1 kV/cm, 2 kV/cm, 5 kV/cm, 10 kV/cm, 20 kV/cm, 50 kV/cm or more. More preferably from about 0.5 kV/cm to about 4.0 kV/cm under in vitro conditions. Preferably the electric field has a strength of from about 1 V/cm to about 10 kV/cm under in vivo conditions. However, the electric field strengths may be lowered where the number of pulses delivered to the target site are increased. Thus, pulsatile delivery of electric fields at lower field strengths is envisaged.

Preferably the application of the electric field is in the form of multiple pulses such as double pulses of the same strength and capacitance or sequential pulses of varying strength and/or capacitance. As used herein, the term “pulse” includes one or more electric pulses at variable capacitance and voltage and including exponential and/or square wave and/or modulated wave/square wave forms.

Preferably the electric pulse is delivered as a waveform selected from an exponential wave form, a square wave form, a modulated wave form and a modulated square wave form.

A preferred embodiment employs direct current at low voltage. Thus, Applicants disclose the use of an electric field which is applied to the cell, tissue or tissue mass at a field strength of between 1V/cm and 20V/cm, for a period of 100 milliseconds or more, preferably 15 minutes or more.

Ultrasound is advantageously administered at a power level of from about 0.05 W/cm2 to about 100 W/cm2. Diagnostic or therapeutic ultrasound may be used, or combinations thereof. As used herein, the term “ultrasound” refers to a form of energy which consists of mechanical vibrations the frequencies of which are so high they are above the range of human hearing. Lower frequency limit of the ultrasonic spectrum may generally be taken as about 20 kHz. Most diagnostic applications of ultrasound employ frequencies in the range 1 and 15 MHz' (From Ultrasonics in Clinical Diagnosis, P. N. T. Wells, ed., 2nd. Edition, Publ. Churchill Livingstone [Edinburgh, London & NY, 1977]).

Ultrasound has been used in both diagnostic and therapeutic applications. When used as a diagnostic tool (“diagnostic ultrasound”), ultrasound is typically used in an energy density range of up to about 100 mW/cm2 (FDA recommendation), although energy densities of up to 750 mW/cm2 have been used. In physiotherapy, ultrasound is typically used as an energy source in a range up to about 3 to 4 W/cm2 (WHO recommendation). In other therapeutic applications, higher intensities of ultrasound may be employed, for example, HIFU at 100 W/cm up to 1 kW/cm2 (or even higher) for short periods of time. The term “ultrasound” as used in this specification is intended to encompass diagnostic, therapeutic and focused ultrasound.

Focused ultrasound (FUS) allows thermal energy to be delivered without an invasive probe (see Morocz et al 1998 Journal of Magnetic Resonance Imaging Vol.8, No. 1, pp.136-142. Another form of focused ultrasound is high intensity focused ultrasound (HIFU) which is reviewed by Moussatov et al in Ultrasonics (1998) Vol.36, No.8, pp.893-900 and TranHuuHue et al in Acustica (1997) Vol.83, No.6, pp.1103-1106.

Preferably, a combination of diagnostic ultrasound and a therapeutic ultrasound is employed. This combination is not intended to be limiting, however, and the skilled reader will appreciate that any variety of combinations of ultrasound may be used. Additionally, the energy density, frequency of ultrasound, and period of exposure may be varied.

Preferably the exposure to an ultrasound energy source is at a power density of from about 0.05 to about 100 Wcm-2. Even more preferably, the exposure to an ultrasound energy source is at a power density of from about 1 to about 15 Wcm-2.

Preferably the exposure to an ultrasound energy source is at a frequency of from about 0.015 to about 10.0 MHz. More preferably the exposure to an ultrasound energy source is at a frequency of from about 0.02 to about 5.0 MHz or about 6.0 MHz. Most preferably, the ultrasound is applied at a frequency of 3 MHz.

Preferably the exposure is for periods of from about 10 milliseconds to about 60 minutes. Preferably the exposure is for periods of from about 1 second to about 5 minutes. More preferably, the ultrasound is applied for about 2 minutes. Depending on the particular target cell to be disrupted, however, the exposure may be for a longer duration, for example, for 15 minutes. Advantageously, the target tissue is exposed to an ultrasound energy source at an acoustic power density of from about 0.05 Wcm-2 to about 10 Wcm-2 with a frequency ranging from about 0.015 to about 10 MHz (see WO 98/52609). However, alternatives are also possible, for example, exposure to an ultrasound energy source at an acoustic power density of above 100 Wcm-2, but for reduced periods of time, for example, 1000 Wcm-2 for periods in the millisecond range or less. Preferably the application of the ultrasound is in the form of multiple pulses; thus, both continuous wave and pulsed wave (pulsatile delivery of ultrasound) may be employed in any combination. For example, continuous wave ultrasound may be applied, followed by pulsed wave ultrasound, or vice versa. This may be repeated any number of times, in any order and combination. The pulsed wave ultrasound may be applied against a background of continuous wave ultrasound, and any number of pulses may be used in any number of groups.

Preferably, the ultrasound may comprise pulsed wave ultrasound. In a highly preferred embodiment, the ultrasound is applied at a power density of 0.7 Wcm-2 or 1.25 Wcm-2 as a continuous wave. Higher power densities may be employed if pulsed wave ultrasound is used.

Use of ultrasound is advantageous as, like light, it may be focused accurately on a target. Moreover, ultrasound is advantageous as it may be focused more deeply into tissues unlike light. It is therefore better suited to whole-tissue penetration (such as but not limited to a lobe of the liver) or whole organ (such as but not limited to the entire liver or an entire muscle, such as the heart) therapy. Another important advantage is that ultrasound is a non-invasive stimulus which is used in a wide variety of diagnostic and therapeutic applications. By way of example, ultrasound is well known in medical imaging techniques and, additionally, in orthopedic therapy. Furthermore, instruments suitable for the application of ultrasound to a subject vertebrate are widely available and their use is well known in the art.

In particular embodiments, the guide molecule is modified by a secondary structure to increase the specificity of the CRISPR-Cas system and the secondary structure can protect against exonuclease activity and allow for 5′ additions to the guide sequence also referred to herein as a protected guide molecule.

Delivery

In embodiments, microbes provided herein comprise a bacterial strain suitable for use as a probiotic and/or for oral delivery. In embodiments, the engineered microbe is suitable for delivery to the gut, the lumen of the gastrointestinal tract, of a subject, by, for example, fecal microbiota transplant (FMT). In particular embodiments, the FMT may comprise microbes cultured from the stool of encoders. As used herein, encoders are subjects that encode enzymes with the catalytic capabilities needed to perform transformations on cholesterol or related molecules, in some embodiments, encoders have the capability of metabolizing cholesterol to coprosterol. Encoders may be identified by a reduced amount of cholesterol content in the stool, an increase in cholestenone, coprostanone and/or coprostanol in the stool relative to non-encoders.

Targeted delivery may use materials with particular properties, for example, enteric, colon-targeting, omniphobic, mucoadhesive, or mucus-penetrating properties. Microbes can be further engineered with tissue targeting properties.

The present disclosure also provides delivery systems for introducing exogenous perturbation construction herein to cells in an animal model, such as Cas animal model. A delivery system may comprise one or more delivery vehicles and/or cargos. Exemplary delivery systems and methods include those described in paragraphs [00117] to [00278] of Feng Zhang et al., (WO2016106236A1), and pages 1241-1251 and Table 1 of Lino CA et al., Delivering CRISPR: a review of the challenges and approaches, DRUG DELIVERY, 2018, VOL. 25, NO. 1, 1234-1257, which are incorporated by reference herein in their entireties.

The nucleic acids and/or polypeptides, can be introduced to cells by transduction by a viral or pseudoviral particle. Methods of packaging the cargos in viral particles can be accomplished using any suitable viral vector or vector systems. Such viral vector and vector systems are described in greater detail elsewhere herein. As used in this context herein “transduction” refers to the process by which foreign nucleic acids and/or proteins are introduced to a cell (prokaryote or eukaryote) by a viral or pseudo viral particle. After packaging in a viral particle or pseudo viral particle, the viral particles can be exposed to cells (e.g. in vitro, ex vivo, or in vivo) where the viral or pseudoviral particle infects the cell and delivers the cargo to the cell via transduction. Viral and pseudoviral particles can be optionally concentrated prior to exposure to target cells. In some embodiments, the virus titer of a composition containing viral and/or pseudoviral particles can be obtained and a specific titer be used to transduce cells.

Vectors and Vector Systems

Also provided herein are vectors that can contain one or more of the perturbation constructs or components thereof described herein, such as the two or more gRNAs, reporter gene and barcode. In certain embodiments, the vector can contain one or more polynucleotides encoding one or more elements of a perturbation construct described herein. The vectors can be useful in producing bacterial, fungal, yeast, plant cells, animal cells, and transgenic animals that can express one or more components of the perturbation construct described herein. Within the scope of this disclosure are vectors containing one or more of the polynucleotide sequences described herein. One or more of the polynucleotides that are part of the perturbation construct described herein can be included in a vector or vector system. The vectors and/or vector systems can be used, for example, to express one or more of the polynucleotides in a cell, such as a producer cell, to produce perturbation construct system containing virus particles described elsewhere herein. Other uses for the vectors and vector systems described herein are also within the scope of this disclosure. In general, and throughout this specification, the term “vector” refers to a tool that allows or facilitates the transfer of an entity from one environment to another. In some contexts which will be appreciated by those of ordinary skill in the art, “vector” can be a term of art to refer to a nucleic acid molecule capable of transporting another nucleic acid to which it has been linked. A vector can be a replicon, such as a plasmid, phage, or cosmid, into which another DNA segment may be inserted so as to bring about the replication of the inserted segment. Generally, a vector is capable of replication when associated with the proper control elements.

Vectors include, but are not limited to, nucleic acid molecules that are single-stranded, double-stranded, or partially double-stranded; nucleic acid molecules that comprise one or more free ends, no free ends (e.g. circular); nucleic acid molecules that comprise DNA, RNA, or both; and other varieties of polynucleotides known in the art. One type of vector is a “plasmid,” which refers to a circular double stranded DNA loop into which additional DNA segments can be inserted, such as by standard molecular cloning techniques. Another type of vector is a viral vector, wherein virally-derived DNA or RNA sequences are present in the vector for packaging into a virus (e.g. retroviruses, replication defective retroviruses, adenoviruses, replication defective adenoviruses, and adeno-associated viruses (AAVs)). Viral vectors also include polynucleotides carried by a virus for transfection into a host cell. Certain vectors are capable of autonomous replication in a host cell into which they are introduced (e.g. bacterial vectors having a bacterial origin of replication and episomal mammalian vectors). Other vectors (e.g., non-episomal mammalian vectors) are integrated into the genome of a host cell upon introduction into the host cell, and thereby are replicated along with the host genome. Moreover, certain vectors are capable of directing the expression of genes to which they are operatively-linked. Such vectors are referred to herein as “expression vectors.” Common expression vectors of utility in recombinant DNA techniques are often in the form of plasmids.

Recombinant expression vectors can be composed of a nucleic acid (e.g. a polynucleotide) of the invention in a form suitable for expression of the nucleic acid in a host cell, which means that the recombinant expression vectors include one or more regulatory elements, which can be selected on the basis of the host cells to be used for expression, that is operatively-linked to the nucleic acid sequence to be expressed. Within a recombinant expression vector, “operably linked” and “operatively-linked” are used interchangeably herein and further defined elsewhere herein. In the context of a vector, the term “operably linked” is intended to mean that the nucleotide sequence of interest is linked to the regulatory element(s) in a manner that allows for expression of the nucleotide sequence (e.g., in an in vitro transcription/translation system or in a host cell when the vector is introduced into the host cell). Advantageous vectors include lentiviruses and adeno-associated viruses, and types of such vectors can also be selected for targeting particular types of cells. These and other embodiments of the vectors and vector systems are described elsewhere herein.

In some embodiments, the vector can be a bicistronic vector. In some embodiments, a bicistronic vector can be used for one or more elements of the perturbation construct described herein. In some embodiments, expression of elements of the perturbation construct described herein can be driven by a ubiquitous promoter, constitutive, cell-specific promoter, inducible promoter or any permissible combination thereof. In some embodiments, expression of elements of the perturbation construct described herein can be driven by a cell-specific and/or inducible promoter. Where the element of the perturbation construct system is an RNA, its expression can be driven by a Pol III promoter, such as a U6 promoter. In some embodiments, the reporter gene expression is driven by a pol II promoter, such as EF la, beta actin, CAG, and the like.

Cell-Based Vector Amplification and Expression

Vectors may be introduced and propagated in a prokaryote or prokaryotic cell. In some embodiments, a prokaryote is used to amplify copies of a vector to be introduced into a eukaryotic cell or as an intermediate vector in the production of a vector to be introduced into a eukaryotic cell (e.g. amplifying a plasmid as part of a viral vector packaging system). The vectors can be viral-based or non-viral based. In some embodiments, a prokaryote is used to amplify copies of a vector and express one or more nucleic acids, such as to provide a source of one or more proteins for delivery to a host cell or host organism.

Vectors can be designed for expression of one or more elements of the perturbation construct described herein (e.g. nucleic acids, transcripts, proteins, enzymes, and combinations thereof) in a suitable host cell. In some embodiments, the suitable host cell is a prokaryotic cell. Suitable host cells include, but are not limited to, bacterial cells, yeast cells, insect cells, and mammalian cells. In some embodiments, the suitable host cell is a eukaryotic cell.

In some embodiments, the suitable host cell is a suitable bacterial cell. Suitable bacterial cells include, but are not limited to bacterial cells from the bacteria of the species Escherichia coli. Many suitable strains of E. coli are known in the art for expression of vectors. These include, but are not limited to Pirl, Stb12, Stb13, Stb14, TOP10, XL1 Blue, and XL10 Gold. In some embodiments, the host cell is a suitable insect cell. Suitable insect cells include those from Spodoptera frugiperda. Suitable strains of S. frugiperda cells include, but are not limited to Sf9 and Sf21. In some embodiments, the host cell is a suitable yeast cell. In some embodiments, the yeast cell can be from Saccharomyces cerevisiae. In some embodiments, the host cell is a suitable mammalian cell. Many types of mammalian cells have been developed to express vectors. Suitable mammalian cells include, but are not limited to, HEK293, Chinese Hamster Ovary Cells (CHOs), mouse myeloma cells, HeLa, U2OS, A549, HT1080, CAD, P19, NIH 3T3, L929, N2a, MCF-7, Y79, SO-Rb50, HepG G2, DIKX-X11, J558L, Baby hamster kidney cells (BHK), and chicken embryo fibroblasts (CEFs). Suitable host cells are discussed further in Goeddel, GENE EXPRESSION TECHNOLOGY: METHODS IN ENZYMOLOGY 185, Academic Press, San Diego, Calif. (1990).

In some embodiments, the vector is a baculovirus vector or expression vector and can be suitable for expression of polynucleotides and/or proteins in insect cells. In some embodiments, the suitable host cell is an insect cell. Baculovirus vectors available for expression of proteins in cultured insect cells (e.g., SF9 cells) include the pAc series (Smith, et al., 1983. Mol. Cell. Biol. 3: 2156-2165) and the pVL series (Lucklow and Summers, 1989. Virology 170: 31-39). rAAV (recombinant Adeno-associated viral) vectors are preferably produced in insect cells, e.g., Spodoptera frugiperda Sf9 insect cells, grown in serum-free suspension culture. Serum-free insect cells can be purchased from commercial vendors, e.g., Sigma Aldrich (EX-CELL 405).

In some embodiments, the vector is a mammalian expression vector. In some embodiments, the mammalian expression vector is capable of expressing one or more polynucleotides and/or polypeptides in a mammalian cell. Examples of mammalian expression vectors include, but are not limited to, pCDM8 (Seed, 1987. Nature 329: 840) and pMT2PC (Kaufman, et al., 1987. EMBO J. 6: 187-195). The mammalian expression vector can include one or more suitable regulatory elements capable of controlling expression of the one or more polynucleotides and/or proteins in the mammalian cell. For example, commonly used promoters are derived from polyoma, adenovirus 2, cytomegalovirus, simian virus 40, and others disclosed herein and known in the art. More detail on suitable regulatory elements are described elsewhere herein.

For other suitable expression vectors and vector systems for both prokaryotic and eukaryotic cells see, e.g., Chapters 16 and 17 of Sambrook, et al., MOLECULAR CLONING: A LABORATORY MANUAL. 2nd ed., Cold Spring Harbor Laboratory, Cold Spring Harbor Laboratory Press, Cold Spring Harbor, N.Y., 1989.

In some embodiments, the recombinant mammalian expression vector is capable of directing expression of the nucleic acid preferentially in a particular cell type (e.g., tissue-specific regulatory elements are used to express the nucleic acid). Tissue-specific regulatory elements are known in the art. Non-limiting examples of suitable tissue-specific promoters include the albumin promoter (liver-specific; Pinkert, et al., 1987. Genes Dev. 1: 268-277), lymphoid-specific promoters (Calame and Eaton, 1988. Adv. Immunol. 43: 235-275), in particular promoters of T cell receptors (Winoto and Baltimore, 1989. EMBO 1 8: 729-733) and immunoglobulins (Baneiji, et al., 1983. Cell 33: 729-740; Queen and Baltimore, 1983. Cell 33: 741-748), neuron-specific promoters (e.g., the neurofilament promoter; Byrne and Ruddle, 1989. Proc. Natl. Acad. Sci. USA 86: 5473-5477), pancreas-specific promoters (Edlund, et al., 1985. Science 230: 912-916), and mammary gland-specific promoters (e.g., milk whey promoter; U.S. Pat. No. 4,873,316 and European Application Publication No. 264,166). Developmentally-regulated promoters are also encompassed, e.g., the murine hox promoters (Kessel and Gruss, 1990. Science 249: 374-379) and the a-fetoprotein promoter (Campes and Tilghman, 1989. Genes Dev. 3: 537-546). With regards to these prokaryotic and eukaryotic vectors, mention is made of U.S. Pat. No. 6,750,059, the contents of which are incorporated by reference herein in their entirety. Other embodiments can utilize viral vectors, with regards to which mention is made of U.S. patent application Ser. No. 13/092,085, the contents of which are incorporated by reference herein in their entirety. Tissue-specific regulatory elements are known in the art and in this regard, mention is made of U.S. Pat. No. 7,776,321, the contents of which are incorporated by reference herein in their entirety. In some embodiments, a regulatory element can be operably linked to one or more elements of a perturbation construct described herein so as to drive expression of the one or more elements of the perturbation construct described herein.

In some embodiments, the vector can be a fusion vector or fusion expression vector. In some embodiments, fusion vectors add a number of amino acids to a protein encoded therein, such as to the amino terminus, carboxy terminus, or both of a recombinant protein. Such fusion vectors can serve one or more purposes, such as: (i) to increase expression of recombinant protein; (ii) to increase the solubility of the recombinant protein; and (iii) to aid in the purification of the recombinant protein by acting as a ligand in affinity purification. In some embodiments, expression of polynucleotides (such as non-coding polynucleotides) and proteins in prokaryotes can be carried out in Escherichia coli with vectors containing constitutive or inducible promoters directing the expression of either fusion or non-fusion polynucleotides and/or proteins. In some embodiments, the fusion expression vector can include a proteolytic cleavage site, which can be introduced at the junction of the fusion vector backbone or other fusion moiety and the recombinant polynucleotide or protein to enable separation of the recombinant polynucleotide or protein from the fusion vector backbone or other fusion moiety subsequent to purification of the fusion polynucleotide or protein. Such enzymes, and their cognate recognition sequences, include Factor Xa, thrombin and enterokinase. Example fusion expression vectors include pGEX (Pharmacia Biotech Inc; Smith and Johnson, 1988. Gene 67: 31-40), pMAL (New England Biolabs, Beverly, Mass.) and pRIT5 (Pharmacia, Piscataway, N.J.) that fuse glutathione S-transferase (GST), maltose E binding protein, or protein A, respectively, to the target recombinant protein. Examples of suitable inducible non-fusion E. coli expression vectors include pTrc (Amrann et al., (1988) Gene 69:301-315) and pET 1 1 d (Studier et al., GENE EXPRESSION TECHNOLOGY: METHODS IN ENZYMOLOGY 185, Academic Press, San Diego, Calif. (1990) 60-89).

In some embodiments, one or more vectors driving expression of one or more elements of a perturbation construct described herein are introduced into a host cell, such as in an animal model (e.g. a Cas animal model) such that expression of the elements of the engineered delivery system described herein direct formation a CRISPR-Cas complex at one or more target sites. For example, a CRISPR-Cas effector protein described herein can be provided in the host cell and a nucleic acid component (e.g., a guide polynucleotide) can be operably linked to a regulatory elements on separate vectors. Different or all elements of perturbation construct described herein can be delivered to an animal, plant, microorganism or cell thereof to produce an animal (e.g., a mammal, reptile, avian, etc.), plant, microorganism or cell thereof that constitutively, inducibly, or conditionally expresses all or different elements of the perturbation construct described herein. As previously described the host cell can express or be capable of expressing a Cas protein, such that when gRNAs present in the perturbation construct are expressed in the same host cell, a CRISPR-Cas system is generated and genetic perturbations can be introduced in that cell.

In some embodiments, two or more of the elements expressed from the same or different regulatory element(s), can be combined in a single vector, with one or more additional vectors providing any components of the system not included in the first vector. perturbation construct polynucleotides that are combined in a single vector may be arranged in any suitable orientation, such as one element located 5′ with respect to (“upstream” of) or 3′ with respect to (“downstream” of) a second element. The coding sequence of one element may be located on the same or opposite strand of the coding sequence of a second element, and oriented in the same or opposite direction.

Vector Features

The vectors can include additional features that can confer one or more functionalities to the vector, the polynucleotide to be delivered, a virus particle produced there from, or polypeptide expressed thereof. Such features include, but are not limited to, regulatory elements, selectable markers, molecular identifiers (e.g. molecular barcodes), stabilizing elements, and the like. It will be appreciated by those skilled in the art that the design of the expression vector and additional features included can depend on such factors as the choice of the host cell to be transformed, the level of expression desired, etc.

Regulatory Elements

In certain embodiments, the polynucleotides and/or vectors thereof described herein (such as the perturbation construct of the present invention) can include one or more regulatory elements that can be operatively linked to the polynucleotide. The term “regulatory element” is intended to include promoters, enhancers, internal ribosomal entry sites (IRES), other expression control elements (e.g., transcription termination signals, such as polyadenylation signals and poly-U sequences) and cellular localization signals (e.g. nuclear localization signals). Such regulatory elements are described, for example, in Goeddel, GENE EXPRESSION TECHNOLOGY: METHODS IN ENZYMOLOGY 185, Academic Press, San Diego, Calif (1990). Regulatory elements include those that direct constitutive expression of a nucleotide sequence in many types of host cell and those that direct expression of the nucleotide sequence only in certain host cells (e.g., tissue-specific regulatory sequences). A tissue-specific promoter can direct expression primarily in a desired tissue of interest, such as muscle, neuron, bone, skin, blood, specific organs (e.g., liver, pancreas), or particular cell types (e.g., lymphocytes). Regulatory elements may also direct expression in a temporal-dependent manner, such as in a cell-cycle dependent or developmental stage-dependent manner, which may or may not also be tissue or cell-type specific. In some embodiments, a vector comprises one or more pol III promoter (e.g., 1, 2, 3, 4, 5, or more pol III promoters), one or more pol II promoters (e.g., 1, 2, 3, 4, 5, or more pol II promoters), one or more pol I promoters (e.g., 1, 2, 3, 4, 5, or more pol I promoters), or combinations thereof. Examples of pol III promoters include, but are not limited to, U6, 7SK, and H1 promoters. Examples of pol II promoters include, but are not limited to, the retroviral Rous sarcoma virus (RSV) LTR promoter (optionally with the RSV enhancer), the cytomegalovirus (CMV) promoter (optionally with the CMV enhancer) (see, e.g., Boshart et al, Cell, 41:521-530 (1985)), the SV40 promoter, the dihydrofolate reductase promoter, the (3-actin promoter, the phosphoglycerol kinase (PGK) promoter, and the EF1α promoter. Also encompassed by the term “regulatory element” are enhancer elements, such as WPRE; CMV enhancers; the R-U5′ segment in LTR of HTLV-I (Mol. Cell. Biol., Vol. 8(1), p. 466-472, 1988); SV40 enhancer; and the intron sequence between exons 2 and 3 of rabbit β-globin (Proc. Natl. Acad. Sci. USA., Vol. 78(3), p. 1527-31, 1981). Specific configurations of the gRNAs, reporter gene and pol II and pol III promoters in the context of the present invention are described in greater detail elsewhere herein.

In some embodiments, the regulatory sequence can be a regulatory sequence described in U.S. Pat. No. 7,776,321, U.S. Pat. Pub. No. 2011/0027239, and International Patent Publication No. WO 2011/028929, the contents of which are incorporated by reference herein in their entirety. In some embodiments, the vector can contain a minimal promoter. In some embodiments, the minimal promoter is the Mecp2 promoter, tRNA promoter, or U6. In a further embodiment, the minimal promoter is tissue specific. In some embodiments, the length of the vector polynucleotide the minimal promoters and polynucleotide sequences is less than 4.4Kb.

To express a polynucleotide, the vector can include one or more transcriptional and/or translational initiation regulatory sequences, e.g. promoters, that direct the transcription of the gene and/or translation of the encoded protein in a cell. In some embodiments a constitutive promoter may be employed. Suitable constitutive promoters for mammalian cells are generally known in the art and include, but are not limited to SV40, CAG, CMV, EF-1a, (3-actin, RSV, and PGK. Suitable constitutive promoters for bacterial cells, yeast cells, and fungal cells are generally known in the art, such as a T-7 promoter for bacterial expression and an alcohol dehydrogenase promoter for expression in yeast.

In some embodiments, the regulatory element can be a regulated promoter. “Regulated promoter” refers to promoters that direct gene expression not constitutively, but in a temporally- and/or spatially-regulated manner, and includes tissue-specific, tissue-preferred and inducible promoters. Regulated promoters include conditional promoters and inducible promoters. In some embodiments, conditional promoters can be employed to direct expression of a polynucleotide in a specific cell type, under certain environmental conditions, and/or during a specific state of development. Suitable tissue specific promoters can include, but are not limited to, liver specific promoters (e.g. APOA2, SERPIN Al (hAAT), CYP3A4, and MIR122), pancreatic cell promoters (e.g. INS, IRS2, Pdxl, Alx3, Ppy), cardiac specific promoters (e.g. Myh6 (alpha MHC), MYL2 (MLC-2v), TNI3 (cTn1), NPPA (ANF), S1c8a1 (Ncxl)), central nervous system cell promoters (SYN1, GFAP, INA, NES, MOBP, MBP, TH, FOXA2 (HNF3 beta)), skin cell specific promoters (e.g. FLG, K14, TGM3), immune cell specific promoters, (e.g. ITGAM, CD43 promoter, CD14 promoter, CD45 promoter, CD68 promoter), urogenital cell specific promoters (e.g. Pbsn, Upk2, Sbp, Fer114), endothelial cell specific promoters (e.g. ENG), pluripotent and embryonic germ layer cell specific promoters (e.g. Oct4, NANOG, Synthetic Oct4, T brachyury, NES, SOX17, FOXA2, MIR122), and muscle cell specific promoter (e.g. Desmin). Other tissue and/or cell specific promoters are generally known in the art and are within the scope of this disclosure.

Inducible/conditional promoters can be positively inducible/conditional promoters (e.g. a promoter that activates transcription of the polynucleotide upon appropriate interaction with an activated activator, or an inducer (compound, environmental condition, or other stimulus) or a negative/conditional inducible promoter (e.g. a promoter that is repressed (e.g. bound by a repressor) until the repressor condition of the promotor is removed (e.g. inducer binds a repressor bound to the promoter stimulating release of the promoter by the repressor or removal of a chemical repressor from the promoter environment). The inducer can be a compound, environmental condition, or other stimulus. Thus, inducible/conditional promoters can be responsive to any suitable stimuli such as chemical, biological, or other molecular agents, temperature, light, and/or pH. Suitable inducible/conditional promoters include, but are not limited to, Tet-On, Tet-Off, Lac promoter, pBad, AlcA, LexA, Hsp70 promoter, Hsp90 promoter, pDawn, XVE/OlexA, GVG, and pOp/LhGR.

Examples of promoters that are inducible and that can allow for spatiotemporal control of gene editing or gene expression may use a form of energy. The form of energy may include but is not limited to sound energy, electromagnetic radiation, chemical energy and/or thermal energy. Examples of inducible systems include tetracycline inducible promoters (Tet-On or Tet-Off), small molecule two-hybrid transcription activations systems (FKBP, ABA, etc.), or light inducible systems (Phytochrome, LOV domains, or cryptochrome)., such as a Light Inducible Transcriptional Effector (LITE) that direct changes in transcriptional activity in a sequence-specific manner. The components of a light inducible system may include one or more elements of the CRISPR-Cas system described herein, a light-responsive cytochrome heterodimer (e.g. from Arabidopsis thaliana), and a transcriptional activation/repression domain. In some embodiments, the vector can include one or more of the inducible DNA binding proteins provided in International Patent Publication No. WO 2014/018423 and US Patent Publication Nos., 2015/0291966, 2017/0166903, 2019/0203212, which describe e.g. embodiments of inducible DNA binding proteins and methods of use and can be adapted for use with the present invention.

In some embodiments, transient or inducible expression can be achieved by including, for example, chemical-regulated promotors, i.e. whereby the application of an exogenous chemical induces gene expression. Modulation of gene expression can also be obtained by including a chemical-repressible promoter, where application of the chemical represses gene expression. Chemical-inducible promoters include, but are not limited to, the maize 1n2-2 promoter, activated by benzene sulfonamide herbicide safeners (De Veylder et al., (1997) Plant Cell Physiol 38:568-77), the maize GST promoter (GST-11-27, WO93/01294), activated by hydrophobic electrophilic compounds used as pre-emergent herbicides, and the tobacco PR-1 a promoter (Ono et al., (2004) Biosci Biotechnol Biochem 68:803-7) activated by salicylic acid. Promoters which are regulated by antibiotics, such as tetracycline-inducible and tetracycline-repressible promoters (Gatz et al., (1991) Mol Gen Genet 227:229-37; U.S. Pat. Nos. 5,814,618 and 5,789,156) can also be used herein.

In some embodiments, the polynucleotide, vector or system thereof can include one or more elements capable of translocating and/or expressing a one or more elements of a perturbation construct described herein to/in a specific cell component or organelle. Such organelles can include, but are not limited to, nucleus, ribosome, endoplasmic reticulum, Golgi apparatus, chloroplast, mitochondria, vacuole, lysosome, cytoskeleton, plasma membrane, cell wall, peroxisome, centrioles, etc. Such regulatory elements can include, but are not limited to, nuclear localization signals (examples of which are described in greater detail elsewhere herein), any such as those that are annotated in the LocSigDB database (see e.g. http://genome.unmc.edu/LocSigDB/and Negi et al., 2015. Database. 2015: bav003; doi: 10.1093/database/bav003), nuclear export signals, endoplasmic reticulum localization/retention signals (see e.g. Liu et al. 2007 Mol. Biol. Cell. 18(3):1073-1082 and Gorleku et al., 2011. J. Biol. Chem. 286:39573-39584), mitochondria (see e.g. Cell Reports. 22:2818-2826, particularly at FIG. 2; Doyle et al. 2013. PLoS ONE 8, e67938; Funes et al. 2002. J. Biol. Chem. 277:6051-6058; Matouschek et al. 1997. PNAS USA 85:2091-2095; Oca-Cossio et al., 2003. 165:707-720; Waltner et al., 1996. J. Biol. Chem. 271:21226-21230; Wilcox et al., 2005. PNAS USA 102:15435-15440; Galanis et al., 1991. FEBS Lett 282:425-430, peroxisome (e.g. (S/A/C)-(K/R/H)-(L/A), SLK, (R/K)-(L/V/I)-XXXXX-(H/Q)-(L/A/F). Suitable protein targeting motifs can also be designed or identified using any suitable database or prediction tool, including but not limited to Minimotif Miner (http:minimotifminer.org, http://mitominer.mrc-mbu.cam.ac.uk/release-4.0/embodiment.do?name=Protein%20MTS), LocDB (see above), PTSs predictor( ), TargetP-2.0 (http://www.cbs.dtu.dk/services/TargetP/), ChloroP (http://www.cbs.dtu.dk/services/ChloroP/); NetNES (http://www.cbs.dtu.dk/services/NetNES/), Predotar (https://urgi.versailles.inra.fr/predotar/), and SignalP (http://www.cbs.dtu.dk/services/SignalP/).

Reporter Genes, Selectable Markers, and Tags

In some embodiments, one or more of the gRNAs and/or barcodes of the perturbation construct described herein is operably linked, fused to, or otherwise modified to include a polynucleotide that encodes or is a selectable marker or tag, which can be a polynucleotide or polypeptide. Such configurations are described in greater detail elsewhere herein.

It will be appreciated that the polynucleotide encoding such selectable markers or tags can be incorporated into a polynucleotide encoding one or more components of the CRISPR-Cas system described herein in an appropriate manner to allow expression of the selectable marker or tag. Such techniques and methods are described elsewhere herein and will be instantly appreciated by one of ordinary skill in the art in view of this disclosure. Many such selectable markers and tags are generally known in the art and are intended to be within the scope of this disclosure.

Reporter genes/proteins, selectable markers and tags include, but are not limited to, affinity tags, such as chitin binding protein (CBP), maltose binding protein (MBP), glutathione-S-transferase (GST), poly(His) tag; solubilization tags such as thioredoxin (TRX) and poly(NANP), MBP, and GST; chromatography tags such as those consisting of polyanionic amino acids, such as FLAG-tag; epitope tags such as V5-tag, Myc-tag, HA-tag and NE-tag; protein tags that can allow specific enzymatic modification (such as biotinylation by biotin ligase) or chemical modification (such as reaction with FlAsH-EDT2 for fluorescence imaging), DNA and/or RNA segments that contain restriction enzyme or other enzyme cleavage sites; DNA segments that encode products that provide resistance against otherwise toxic compounds including antibiotics, such as, spectinomycin, ampicillin, kanamycin, tetracycline, Basta, neomycin phosphotransferase II (NEO), hygromycin phosphotransferase (HPT)) and the like; DNA and/or RNA segments that encode products that are otherwise lacking in the recipient cell (e.g., tRNA genes, auxotrophic markers); DNA and/or RNA segments that encode products which can be readily identified (e.g., phenotypic markers such as (3-galactosidase, GUS; optically active proteins (e.g. fluorescent proteins such as a green fluorescent protein (GFP), cyan (CFP), yellow (YFP), red (RFP), blue (BFP) luciferase, and cell surface proteins); polynucleotides that can generate one or more new primer sites for PCR (e.g., the juxtaposition of two DNA sequences not previously juxtaposed), DNA sequences not acted upon or acted upon by a restriction endonuclease or other DNA modifying enzyme, chemical, etc.; epitope tags (e.g. GFP, FLAG- and His-tags), and, DNA sequences that make a molecular barcode or unique molecular identifier (UMI), DNA sequences required for a specific modification (e.g., methylation) that allows its identification. Other suitable markers will be appreciated by those of skill in the art.

In some embodiments, the reporter gene can be a gene coding for a cluster of differentiation (CD) molecule or CD molecules. The CD molecules that can be used as a reporter herein include, but are not limited to, CD3, CD4, CD8, CD19, CD20, CD22, CD27, CD29, CD30, CD33, CD34, CD44, CD45, CD47, CD48, CD58, CD66, CD70, CD79, CD80, CD82, CD86, CD101, and CD156. In some embodiments, the reporter gene can be a gene coding for a cell surface receptor that include, but are not limited to, EGFR, FGFR, HER2, and HER3. In certain example embodiments, the reporter gene encodes a cell surface molecules selected from the group of: CD3, CD4, CD19, CD20, CD22, CD34, CD45, CD80, a cell surface receptor, a cluster differentiation (CD) molecule, or any combination thereof.

Reporter genes, selectable markers, and tags can be operably linked to one or more components of the perturbation construct described herein via suitable linker, such as a glycine or glycine serine linkers, which are generally known in the art. Other suitable linkers are described elsewhere herein and generally known in the art.

The vector or vector system can include one or more polynucleotides encoding one or more targeting moieties. In some embodiments, the targeting moiety encoding polynucleotides can be included in the vector or vector system, such as a viral vector system, such that they are expressed within and/or on the virus particle(s) produced such that the virus particles can be targeted to specific cells, tissues, organs, etc. In some embodiments, the targeting moiety encoding polynucleotides can be included in the vector or vector system such that the perturbation construct described herein and/or products expressed therefrom include the targeting moiety and can be targeted to specific cells, tissues, organs, etc. In some embodiments, such as non-viral carriers, the targeting moiety can be attached to the carrier (e.g. polymer, lipid, inorganic molecule etc.) and can be capable of targeting the carrier and any attached or associated perturbation construct or component thereof described herein to specific cells, tissues, organs, etc.

Codon Optimization of Vector Polynucleotides

As described elsewhere herein, the polynucleotide encoding one or more embodiments of the perturbation construct described herein can be codon optimized. In some embodiments, one or more polynucleotides contained in a vector (“vector polynucleotides”) described herein that are in addition to an optionally codon optimized polynucleotide encoding embodiments of the perturbation construct described herein can be codon optimized. In general, codon optimization refers to a process of modifying a nucleic acid sequence for enhanced expression in the host cells of interest by replacing at least one codon (e.g., about or more than about 1, 2, 3, 4, 5, 10, 15, 20, 25, 50, or more codons) of the native sequence with codons that are more frequently or most frequently used in the genes of that host cell while maintaining the native amino acid sequence. Various species exhibit particular bias for certain codons of a particular amino acid. Codon bias (differences in codon usage between organisms) often correlates with the efficiency of translation of messenger RNA (mRNA), which is in turn believed to be dependent on, among other things, the properties of the codons being translated and the availability of particular transfer RNA (tRNA) molecules. The predominance of selected tRNAs in a cell is generally a reflection of the codons used most frequently in peptide synthesis. Accordingly, genes can be tailored for optimal gene expression in a given organism based on codon optimization. Codon usage tables are readily available, for example, at the “Codon Usage Database” available at www.kazusa.orjp/codon/ and these tables can be adapted in a number of ways. See Nakamura, Y., et al. “Codon usage tabulated from the international DNA sequence databases: status for the year 2000” Nucl. Acids Res. 28:292 (2000). Computer algorithms for codon optimizing a particular sequence for expression in a particular host cell are also available, such as Gene Forge (Aptagen; Jacobus, PA), are also available. In some embodiments, one or more codons (e.g., 1, 2, 3, 4, 5, 10, 15, 20, 25, 50, or more, or all codons) in a sequence encoding a DNA/RNA-targeting Cas protein corresponds to the most frequently used codon for a particular amino acid. As to codon usage in yeast, reference is made to the online Yeast Genome database available at http://www.yeastgenome.org/community/codon_usage. shtml, or Codon selection in yeast, Bennetzen and Hall, J Biol Chem. 1982 March 25;257(6):3026-31. As to codon usage in plants including algae, reference is made to Codon usage in higher plants, green algae, and cyanobacteria, Campbell and Gowri, Plant Physiol. 1990 January; 92(1): 1-11.; as well as Codon usage in plant genes, Murray et al, Nucleic Acids Res. 1989 January 25;17(2):477-98; or Selection on the codon bias of chloroplast and cyanelle genes in different plant and algal lineages, Morton BR, J Mol Evol. 1998 April;46(4):449-59.

The vector polynucleotide can be codon optimized for expression in a specific cell-type, tissue type, organ type, and/or subject type. In some embodiments, a codon optimized sequence is a sequence optimized for expression in a eukaryote, e.g., humans (i.e. being optimized for expression in a human or human cell), or for another eukaryote, such as another animal (e.g. a mammal or avian) as is described elsewhere herein. Such codon optimized sequences are within the ambit of the ordinary skilled artisan in view of the description herein. In some embodiments, the polynucleotide is codon optimized for a specific cell type. Such cell types can include, but are not limited to, epithelial cells (including skin cells, cells lining the gastrointestinal tract, cells lining other hollow organs), nerve cells (nerves, brain cells, spinal column cells, nerve support cells (e.g. astrocytes, glial cells, Schwann cells etc.) , muscle cells (e.g. cardiac muscle, smooth muscle cells, and skeletal muscle cells), connective tissue cells (fat and other soft tissue padding cells, bone cells, tendon cells, cartilage cells), blood cells, stem cells and other progenitor cells, immune system cells, germ cells, and combinations thereof. Such codon optimized sequences are within the ambit of the ordinary skilled artisan in view of the description herein. In some embodiments, the polynucleotide is codon optimized for a specific tissue type. Such tissue types can include, but are not limited to, muscle tissue, connective tissue, connective tissue, nervous tissue, and epithelial tissue. Such codon optimized sequences are within the ambit of the ordinary skilled artisan in view of the description herein. In some embodiments, the polynucleotide is codon optimized for a specific organ. Such organs include, but are not limited to, muscles, skin, intestines, liver, spleen, brain, lungs, stomach, heart, kidneys, gallbladder, pancreas, bladder, thyroid, bone, blood vessels, blood, and combinations thereof. Such codon optimized sequences are within the ambit of the ordinary skilled artisan in view of the description herein.

In some embodiments, a vector polynucleotide is codon optimized for expression in particular cells, such as prokaryotic or eukaryotic cells. The eukaryotic cells may be those of or derived from a particular organism, such as a plant or a mammal, including but not limited to human, or non-human eukaryote or animal or mammal as discussed herein, e.g., mouse, rat, rabbit, dog, livestock, or non-human mammal or primate.

Vector Construction

The vectors described herein can be constructed using any suitable process or technique. In some embodiments, one or more suitable recombination and/or cloning methods or techniques can be used to the vector(s) described herein. Suitable recombination and/or cloning techniques and/or methods can include, but not limited to, those described in U.S. Patent Publication No. US 2004/0171156 Al. Other suitable methods and techniques are described elsewhere herein.

Construction of recombinant AAV vectors are described in a number of publications, including U.S. Pat. No. 5,173,414; Tratschin et al., Mol. Cell. Biol. 5:3251-3260 (1985); Tratschin, et al., Mol. Cell. Biol. 4:2072-2081 (1984); Hermonat & Muzyczka, PNAS 81:6466-6470 (1984); and Samulski et al., J. Virol. 63:03822-3828 (1989). Any of the techniques and/or methods can be used and/or adapted for constructing an AAV or other vector described herein. nAAV vectors are discussed elsewhere herein.

In some embodiments, a vector comprises one or more insertion sites, such as a restriction endonuclease recognition sequence (also referred to as a “cloning site”). In some embodiments, one or more insertion sites (e.g., about or more than about 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, or more insertion sites) are located upstream and/or downstream of one or more sequence elements of one or more vectors. When multiple different guide polynucleotides are used, a single expression construct may be used to target nucleic acid-targeting activity to multiple different, corresponding target sequences within a cell. For example, a single vector may comprise about or more than about 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, or more guide s polynucleotides. In some embodiments, about or more than about 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, or more such guide-polynucleotide-containing vectors may be provided, and optionally delivered to a cell.

Delivery vehicles, vectors, particles, nanoparticles, formulations and components thereof for expression of one or more elements of a CRISPR-Cas system described herein are as used in the foregoing documents, such as International Patent Publication No. WO 2014/093622 (PCT/US2013/074667) and are discussed in greater detail herein.

Viral Vectors

In some embodiments, the vector is a viral vector. The term of art “viral vector” and as used herein in this context refers to polynucleotide based vectors that contain one or more elements from or based upon one or more elements of a virus that can be capable of expressing and packaging a polynucleotide, such as a perturbation construct of the present invention, into a virus particle and producing said virus particle when used alone or with one or more other viral vectors (such as in a viral vector system). Viral vectors and systems thereof can be used for producing viral particles for delivery of and/or expression of one or more components of the perturbation construct described herein. The viral vector can be part of a viral vector system involving multiple vectors. In some embodiments, systems incorporating multiple viral vectors can increase the safety of these systems. Suitable viral vectors can include retroviral-based vectors, lentiviral-based vectors, adenoviral-based vectors, adeno associated vectors, helper-dependent adenoviral (HdAd) vectors, hybrid adenoviral vectors, herpes simplex virus-based vectors, poxvirus-based vectors, and Epstein-Barr virus-based vectors. Other embodiments of viral vectors and viral particles produce therefrom are described elsewhere herein. In some embodiments, the viral vectors are configured to produce replication incompetent viral particles for improved safety of these systems.

In certain embodiments, the virus structural component, which can be encoded by one or more polynucleotides in a viral vector or vector system, comprises one or more capsid proteins including an entire capsid. In certain embodiments, such as wherein a viral capsid comprises multiple copies of different proteins, the delivery system can provide one or more of the same protein or a mixture of such proteins. For example , AAV comprises 3 capsid proteins, VP1, VP2, and VP3, thus delivery systems of the invention can comprise one or more of VP1, and/or one or more of VP2, and/or one or more of VP3. Accordingly, the present invention is applicable to a virus within the family Adenoviridae, such as Atadenovirus, e.g., Ovine atadenovirus D, Aviadenovirus, e.g., Fowl aviadenovirus A, Ichtadenovirus, e.g., Sturgeon ichtadenovirus A, Mastadenovirus (which includes adenoviruses such as all human adenoviruses), e.g., Human mastadenovirus C, and Siadenovirus, e.g., Frog siadenovirus A. Thus, a virus of within the family Adenoviridae is contemplated as within the invention with discussion herein as to adenovirus applicable to other family members. Target-specific AAV capsid variants can be used or selected. Non-limiting examples include capsid variants selected to bind to chronic myelogenous leukemia cells, human CD34 PBPC cells, breast cancer cells, cells of lung, heart, dermal fibroblasts, melanoma cells, stem cell, glioblastoma cells, coronary artery endothelial cells and keratinocytes. See, e.g., Buning et al, 2015, Current Opinion in Pharmacology 24, 94-104. From teachings herein and knowledge in the art as to modifications of adenovirus (see, e.g., U.S. Pat. Nos. 9,410,129, 7,344,872, 7,256,036, 6,911,199, 6,740,525; Matthews, “Capsid-Incorporation of Antigens into Adenovirus Capsid Proteins for a Vaccine Approach,” Mol Pharm, 8(1): 3-11 (2011)), as well as regarding modifications of AAV, the skilled person can readily obtain a modified adenovirus that has a large payload protein or a CRISPR-protein, despite that heretofore it was not expected that such a large protein could be provided on an adenovirus. And as to the viruses related to adenovirus mentioned herein, as well as to the viruses related to AAV mentioned elsewhere herein, the teachings herein as to modifying adenovirus and AAV, respectively, can be applied to those viruses without undue experimentation from this disclosure and the knowledge in the art.

In some embodiments, the viral vector is configured such that when the cargo is packaged the cargo(s) (e.g. one or more components of the perturbation construct including but not limited to the two or more gRNAs, is/are external to the capsid or virus particle. In the sense that it is not inside the capsid (enveloped or encompassed with the capsid), but is externally exposed so that it can contact the target genomic DNA. In some embodiments, the viral vector is configured such that all the carog(s) are contained within the capsid after packaging. Retroviral and Lentiviral Vectors

Retroviral vectors can be composed of cis-acting long terminal repeats with packaging capacity for up to 6-10 kb of foreign sequence. The minimum cis-acting LTRs are sufficient for replication and packaging of the vectors, which are then used to integrate the therapeutic gene into the target cell to provide permanent transgene expression. Suitable retroviral vectors for the perturbation construct described herein can include those based upon murine leukemia virus (MuLV), gibbon ape leukemia virus (GaLV), Simian immunodeficiency virus (SIV), human immunodeficiency virus (HIV), and combinations thereof (see, e.g., Buchscher et al., J. Virol. 66:2731-2739 (1992); Johann et al., J. Virol. 66:1635-1640 (1992); Sommnerfelt et al., Virol. 176:58-59 (1990); Wilson et al., J. Virol. 63:2374-2378 (1989); Miller et al., J. Virol. 65:2220-2224 (1991); PCT/US94/05700). Selection of a retroviral gene transfer system may therefore depend on the target tissue.

The tropism of a retrovirus can be altered by incorporating foreign envelope proteins, expanding the potential target population of target cells. Lentiviral vectors are retroviral vectors that are able to transduce or infect non-dividing cells and are described in greater detail elsewhere herein. A retrovirus can also be engineered to allow for conditional expression of the inserted transgene, such that only certain cell types are infected by the lentivirus.

Lentiviruses are complex retroviruses that have the ability to infect and express their genes in both mitotic and post-mitotic cells. Advantages of using a lentiviral approach can include the ability to transduce or infect non-dividing cells and their ability to typically produce high viral titers, which can increase efficiency or efficacy of production and delivery. Suitable lentiviral vectors include, but are not limited to, human immunodeficiency virus (HIV)-based lentiviral vectors, feline immunodeficiency virus (FIV)-based lentiviral vectors, simian immunodeficiency virus (SIV)-based lentiviral vectors, Moloney Murine Leukaemia Virus (Mo-MLV), Visna.maedi virus (VMV)-based lentiviral vector, carpine arthritis-encephalitis virus (CAEV)-based lentiviral vector, bovine immune deficiency virus (BIV)-based lentiviral vector, and Equine infectious anemia (EIAV)-based lentiviral vector. In some embodiments, an HIV-based lentiviral vector system can be used. In some embodiments, a FIV-based lentiviral vector system can be used.

In some embodiments, the lentiviral vector is an EIAV-based lentiviral vector or vector system. EIAV vectors have been used to mediate expression, packaging, and/or delivery in other contexts, such as for ocular gene therapy (see, e.g., Balagaan, J Gene Med 2006; 8: 275-285). In another embodiment, RetinoStat®, (see, e.g., Binley et al., HUMAN GENE THERAPY 23:980-991 (September 2012)), which describes RetinoStat®, an equine infectious anemia virus-based lentiviral gene therapy vector that expresses angiostatic proteins endostatin and angiostatin that is delivered via a subretinal injection for the treatment of the wet form of age-related macular degeneration. Any of these vectors described in these publications can be modified for the elements of the perturbation construct described herein.

In some embodiments, the lentiviral vector or vector system thereof can be a first-generation lentiviral vector or vector system thereof. First-generation lentiviral vectors can contain a large portion of the lentivirus genome, including the gag and pol genes, other additional viral proteins (e.g. VSV-G) and other accessory genes (e.g. vif, vprm vpu, nef, and combinations thereof), regulatory genes (e.g. tat and/or rev) as well as the gene of interest between the LTRs. First generation lentiviral vectors can result in the production of virus particles that can be capable of replication in vivo, which may not be appropriate for some instances or applications.

In some embodiments, the lentiviral vector or vector system thereof can be a second-generation lentiviral vector or vector system thereof. Second-generation lentiviral vectors do not contain one or more accessory virulence factors and do not contain all components necessary for virus particle production on the same lentiviral vector. This can result in the production of a replication-incompetent virus particle and thus increase the safety of these systems over first-generation lentiviral vectors. In some embodiments, the second-generation vector lacks one or more accessory virulence factors (e.g. vif, vprm, vpu, nef, and combinations thereof). Unlike the first-generation lentiviral vectors, no single second generation lentiviral vector includes all features necessary to express and package a polynucleotide into a virus particle. In some embodiments, the envelope and packaging components are split between two different vectors with the gag, pol, rev, and tat genes being contained on one vector and the envelope protein (e.g. VSV-G) are contained on a second vector. The gene of interest, its promoter, and LTRs can be included on a third vector that can be used in conjunction with the other two vectors (packaging and envelope vectors) to generate a replication-incompetent virus particle.

In some embodiments, the lentiviral vector or vector system thereof can be a third-generation lentiviral vector or vector system thereof. Third-generation lentiviral vectors and vector systems thereof have increased safety over first- and second-generation lentiviral vectors and systems thereof because, for example, the various components of the viral genome are split between two or more different vectors but used together in vitro to make virus particles, they can lack the tat gene (when a constitutively active promoter is included up-stream of the LTRs), and they can include one or more deletions in the 3′ LTR to create self-inactivating (SIN) vectors having disrupted promoter/enhancer activity of the LTR. In some embodiments, a third-generation lentiviral vector system can include (i) a vector plasmid that contains the polynucleotide of interest and upstream promoter that are flanked by the 5′ and 3′ LTRs, which can optionally include one or more deletions present in one or both of the LTRs to render the vector self-inactivating; (ii) a “packaging vector(s)” that can contain one or more genes involved in packaging a polynucleotide into a virus particle that is produced by the system (e.g. gag, pol, and rev) and upstream regulatory sequences (e.g. promoter(s)) to drive expression of the features present on the packaging vector, and (iii) an “envelope vector” that contains one or more envelope protein genes and upstream promoters. In certain embodiments, the third-generation lentiviral vector system can include at least two packaging vectors, with the gag-pol being present on a different vector than the rev gene.

In some embodiments, self-inactivating lentiviral vectors with an siRNA targeting a common exon shared by HIV tat/rev, a nucleolar-localizing TAR decoy, and an anti-CCR5-specific hammerhead ribozyme (see, e.g., DiGiusto et al. (2010) Sci Transl Med 2:36ra43) can be used/and or adapted to the perturbation construct of the present invention.

In some embodiments, the pseudotype and infectivity or tropisim of a lentivirus particle can be tuned by altering the type of envelope protein(s) included in the lentiviral vector or system thereof. As used herein, an “envelope protein” or “outer protein” means a protein exposed at the surface of a viral particle that is not a capsid protein. For example, envelope or outer proteins typically comprise proteins embedded in the envelope of the virus. In some embodiments, a lentiviral vector or vector system thereof can include a VSV-G envelope protein. VSV-G mediates viral attachment to an LDL receptor (LDLR) or an LDLR family member present on a host cell, which triggers endocytosis of the viral particle by the host cell. Because LDLR is expressed by a wide variety of cells, viral particles expressing the VSV-G envelope protein can infect or transduce a wide variety of cell types. Other suitable envelope proteins can be incorporated based on the host cell that a user desires to be infected by a virus particle produced from a lentiviral vector or system thereof described herein and can include, but are not limited to, feline endogenous virus envelope protein (RD114) (see e.g. Hanawa et al. Molec. Ther. 2002 5(3) 242-251), modified Sindbis virus envelope proteins (see e.g. Morizono et al. 2010. J. Virol. 84(14) 6923-6934; Morizono et al. 2001. J. Virol. 75:8016-8020; Morizono et al. 2009. J. Gene Med. 11:549-558; Morizono et al. 2006 Virology 355:71-81; Morizono et al J. Gene Med. 11:655-663, Morizono et al. 2005 Nat. Med. 11:346-352), baboon retroviral envelope protein (see e.g. Girard-Gagnepain et al. 2014. Blood. 124: 1221-1231); Tupaia paramyxovirus glycoproteins (see e.g. Enkirch T. et al., 2013. Gene Ther. 20:16-23); measles virus glycoproteins (see e.g. Funke et al. 2008. Molec. Ther. 16(8): 1427-1436), rabies virus envelope proteins, MLV envelope proteins, Ebola envelope proteins, baculovirus envelope proteins, filovirus envelope proteins, hepatitis E1 and E2 envelope proteins, gp41 and gp120 of HIV, hemagglutinin, neuraminidase, M2 proteins of influenza virus, and combinations thereof.

In some embodiments, the tropism of the resulting lentiviral particle can be tuned by incorporating cell targeting peptides into a lentiviral vector such that the cell targeting peptides are expressed on the surface of the resulting lentiviral particle. In some embodiments, a lentiviral vector can contain an envelope protein that is fused to a cell targeting protein (see e.g. Buchholz et al. 2015. Trends Biotechnol. 33:777-790; Bender et al. 2016. PLoS Pathog. 12(e1005461); and Friedrich et al. 2013. Mol. Ther. 2013. 21: 849-859.

In some embodiments, a split-intein-mediated approach to target lentiviral particles to a specific cell type can be used (see e.g. Chamoun-Emaneulli et al. 2015. Biotechnol. Bioeng. 112:2611-2617, Ramirez et al. 2013. Protein. Eng. Des. Sel. 26:215-233. In these embodiments, a lentiviral vector can contain one half of a splicing-deficient variant of the naturally split intein from Nostoc punctiforme fused to a cell targeting peptide and the same or different lentiviral vector can contain the other half of the split intein fused to an envelope protein, such as a binding-deficient, fusion-competent virus envelope protein. This can result in production of a virus particle from the lentiviral vector or vector system that includes a split intein that can function as a molecular Velcro linker to link the cell-binding protein to the pseudotyped lentivirus particle. This approach can be advantageous for use where surface-incompatibilities can restrict the use of, e.g., cell targeting peptides.

In some embodiments, a covalent-bond-forming protein-peptide pair can be incorporated into one or more of the lentiviral vectors described herein to conjugate a cell targeting peptide to the virus particle (see e.g. Kasaraneni et al. 2018. Sci. Reports (8) No. 10990). In some embodiments, a lentiviral vector can include an N-terminal PDZ domain of InaD protein (PDZ1) and its pentapeptide ligand (TEFCA) from NorpA, which can conjugate the cell targeting peptide to the virus particle via a covalent bond (e.g. a disulfide bond). In some embodiments, the PDZ1 protein can be fused to an envelope protein, which can optionally be binding deficient and/or fusion competent virus envelope protein and included in a lentiviral vector. In some embodiments, the TEFCA can be fused to a cell targeting peptide and the TEFCA-CPT fusion construct can be incorporated into the same or a different lentiviral vector as the PDZ1-envenlope protein construct. During virus production, specific interaction between the PDZ1 and TEFCA facilitates producing virus particles covalently functionalized with the cell targeting peptide and thus capable of targeting a specific cell-type based upon a specific interaction between the cell targeting peptide and cells expressing its binding partner. This approach can be advantageous for use where surface-incompatibilities can restrict the use of, e.g., cell targeting peptides.

Lentiviral vectors have been disclosed as in the treatment for Parkinson's Disease, see, e.g., US Patent Publication No. 20120295960 and U.S. Pat. Nos. 7303910 and 7351585. Lentiviral vectors have also been disclosed for the treatment of ocular diseases, see e.g., US Patent Publication Nos. 20060281180, 20090007284, US20110117189; US20090017543; US20070054961, US20100317109. Lentiviral vectors have also been disclosed for delivery to the brain, see, e.g., US Patent Publication Nos. US20110293571; US20110293571, US20040013648, US20070025970, US20090111106 and US Patent No. US7259015. Any of these systems or a variant thereof can be used to deliver a perturbation construct described herein to a cell.

In some embodiments, a lentiviral vector system can include one or more transfer plasmids. Transfer plasmids can be generated from various other vector backbones and can include one or more features that can work with other retroviral and/or lentiviral vectors in the system that can, for example, improve safety of the vector and/or vector system, increase virial titers, and/or increase or otherwise enhance expression of the desired insert to be expressed and/or packaged into the viral particle. Suitable features that can be included in a transfer plasmid can include, but are not limited to, 5′LTR, 3′LTR, SIN/LTR, origin of replication (Ori), selectable marker genes (e.g. antibiotic resistance genes), Psi (ψ), RRE (rev response element), cPPT (central polypurine tract), promoters, WPRE (woodchuck hepatitis post-transcriptional regulatory element), SV40 polyadenylation signal, pUC origin, SV40 origin, Fl origin, and combinations thereof.

In another embodiment, Cocal vesiculovirus envelope pseudotyped retroviral or lentiviral vector particles are contemplated (see, e.g., US Patent Publication No. 20120164118 assigned to the Fred Hutchinson Cancer Research Center). Cocal virus is in the Vesiculovirus genus, and is a causative agent of vesicular stomatitis in mammals. Cocal virus was originally isolated from mites in Trinidad (Jonkers et al., Am. J. Vet. Res. 25:236-242 (1964)), and infections have been identified in Trinidad, Brazil, and Argentina from insects, cattle, and horses. Many of the vesiculoviruses that infect mammals have been isolated from naturally infected arthropods, suggesting that they are vector-borne. Antibodies to vesiculoviruses are common among people living in rural areas where the viruses are endemic and laboratory-acquired; infections in humans usually result in influenza-like symptoms. The Cocal virus envelope glycoprotein shares 71.5% identity at the amino acid level with VSV-G Indiana, and phylogenetic comparison of the envelope gene of vesiculoviruses shows that Cocal virus is serologically distinct from, but most closely related to, VSV-G Indiana strains among the vesiculoviruses. Jonkers et al., Am. J. Vet. Res. 25:236-242 (1964) and Travassos da Rosa et al., Am. J. Tropical Med. & Hygiene 33:999-1006 (1984). The Cocal vesiculovirus envelope pseudotyped retroviral vector particles may include for example, lentiviral, alpharetroviral, betaretroviral, gammaretroviral, deltaretroviral, and epsilonretroviral vector particles that may comprise retroviral Gag, Pol, and/or one or more accessory protein(s) and a Cocal vesiculovirus envelope protein. In certain embodiments of these embodiments, the Gag, Pol, and accessory proteins are lentiviral and/or gammaretroviral. In some embodiments, a retroviral vector can contain encoding polypeptides for one or more Cocal vesiculovirus envelope proteins such that the resulting viral or pseudoviral particles are Cocal vesiculovirus envelope pseudotyped.

Adenoviral Vectors, Helper-Dependent Adenoviral Vectors, and Hybrid Adenoviral Vectors

In some embodiments, the vector can be an adenoviral vector. In some embodiments, the adenoviral vector can include elements such that the virus particle produced using the vector or system thereof can be serotype 2 or serotype 5. In some embodiments, the polynucleotide to be delivered via the adenoviral particle can be up to about 8 kb. Thus, in some embodiments, an adenoviral vector can include a DNA polynucleotide to be delivered that can range in size from about 0.001 kb to about 8 kb. Adenoviral vectors have been used successfully in several contexts (see e.g. Teramato et al. 2000. Lancet. 355:1911-1912; Lai et al. 2002. DNA Cell. Biol. 21:895-913; Flotte et al., 1996. Hum. Gene. Ther. 7:1145-1159; and Kay et al. 2000. Nat. Genet. 24:257-261.

In some embodiments the vector can be a helper-dependent adenoviral vector or system thereof. These are also referred to in the art as “gutless” or “gutted” vectors and are a modified generation of adenoviral vectors (see e.g. Thrasher et al. 2006. Nature. 443:E5-7). In certain embodiments of the helper-dependent adenoviral vector system one vector (the helper) can contain all the viral genes required for replication but contains a conditional gene defect in the packaging domain. The second vector of the system can contain only the ends of the viral genome, one or more CRISPR-Cas polynucleotides, and the native packaging recognition signal, which can allow selective packaged release from the cells (see e.g. Cideciyan et al. 2009. N Engl J Med. 361:725-727). Helper-dependent adenoviral vector systems have been successful for gene delivery in several contexts (see e.g. Simonelli et al. 2010. J Am Soc Gene Ther. 18:643-650; Cideciyan et al. 2009. N Engl J Med. 361:725-727; Crane et al. 2012. Gene Ther. 19(4):443-452; Alba et al. 2005. Gene Ther. 12:18-S27; Croyle et al. 2005. Gene Ther. 12:579-587; Amalfitano et al. 1998. J. Virol. 72:926-933; and Morral et al. 1999. PNAS. 96:12816-12821). The techniques and vectors described in these publications can be adapted for inclusion and delivery of the CRISPR-Cas system polynucleotides described herein. In some embodiments, the polynucleotide to be delivered via the viral particle produced from a helper-dependent adenoviral vector or system thereof can be up to about 37 kb. Thus, in some embodiments, a adenoviral vector can include a DNA polynucleotide to be delivered that can range in size from about 0.001 kb to about 37 kb (see e.g. Rosewell et al. 2011. J. Genet. Syndr. Gene Ther. Suppl. 5:001).

In some embodiments, the vector is a hybrid-adenoviral vector or system thereof. Hybrid adenoviral vectors are composed of the high transduction efficiency of a gene-deleted adenoviral vector and the long-term genome-integrating potential of adeno-associated, retroviruses, lentivirus, and transposon based-gene transfer. In some embodiments, such hybrid vector systems can result in stable transduction and limited integration site. See e.g. Balague et al. 2000. Blood. 95:820-828; Morral et al. 1998. Hum. Gene Ther. 9:2709-2716; Kubo and Mitani. 2003. J. Virol. 77(5): 2964-2971; Zhang et al. 2013. PloS One. 8(10) e76771; and Cooney et al. 2015. Mol. Ther. 23(4):667-674), whose techniques and vectors described therein can be modified and adapted for use in the CRISPR-Cas system of the present invention. In some embodiments, a hybrid-adenoviral vector can include one or more features of a retrovirus and/or an adeno-associated virus. In some embodiments the hybrid-adenoviral vector can include one or more features of a spuma retrovirus or foamy virus (FV). See e.g. Ehrhardt et al. 2007. Mol. Ther. 15:146-156 and Liu et al. 2007. Mol. Ther. 15:1834-1841, whose techniques and vectors described therein can be modified and adapted for use in the CRISPR-Cas system of the present invention. Advantages of using one or more features from the FVs in the hybrid-adenoviral vector or system thereof can include the ability of the viral particles produced therefrom to infect a broad range of cells, a large packaging capacity as compared to other retroviruses, and the ability to persist in quiescent (non-dividing) cells. See also e.g. Ehrhardt et al. 2007. Mol. Ther. 156:146-156 and Shuji et al. 2011. Mol. Ther. 19:76-82, whose techniques and vectors described therein can be modified and adapted for use in the perturbation construct of the present invention.

Adeno Associated Viral (AAV) Vectors

In an embodiment, the vector can be an adeno-associated virus (AAV) vector. See, e.g., West et al., Virology 160:38-47 (1987); U.S. Pat. No. 4,797,368; WO 93/24641; Kotin, Human Gene Therapy 5:793-801 (1994); and Muzyczka, J. Clin. Invest. 94:1351 (1994). Although similar to adenoviral vectors in some of their features, AAVs have some deficiency in their replication and/or pathogenicity and thus can be safer that adenoviral vectors. In some embodiments the AAV can integrate into a specific site on chromosome 19 of a human cell with no observable side effects. In some embodiments, the capacity of the AAV vector, system thereof, and/or AAV particles can be up to about 4.7 kb. The AAV vector or system thereof can include one or more regulatory molecules. In some embodiments the regulatory molecules can be promoters, enhancers, repressors and the like, which are described in greater detail elsewhere herein. In some embodiments, the AAV vector or system thereof can include one or more polynucleotides that can encode one or more regulatory proteins. In some embodiments, the one or more regulatory proteins can be selected from Rep78, Rep68, Rep52, Rep40, variants thereof, and combinations thereof

The AAV vector or system thereof can include one or more polynucleotides that can encode one or more capsid proteins. The capsid proteins can be selected from VP1, VP2, VP3, and combinations thereof. The capsid proteins can be capable of assembling into a protein shell of the AAV virus particle. In some embodiments, the AAV capsid can contain 60 capsid proteins. In some embodiments, the ratio of VP1:VP2:VP3 in a capsid can be about 1:1:10.

In some embodiments, the AAV vector or system thereof can include one or more adenovirus helper factors or polynucleotides that can encode one or more adenovirus helper factors. Such adenovirus helper factors can include, but are not limited, E1A, E1B, E2A, E4ORF6, and VA RNAs. In some embodiments, a producing host cell line expresses one or more of the adenovirus helper factors.

The AAV vector or system thereof can be configured to produce AAV particles having a specific serotype. In some embodiments, the serotype can be AAV-1, AAV-2, AAV-3, AAV-4, AAV-5, AAV-6, AAV-8, AAV-9 or any combinations thereof. In some embodiments, the AAV can be AAV1, AAV-2, AAV-5 or any combination thereof. One can select the AAV of the AAV with regard to the cells to be targeted; e.g., one can select AAV serotypes 1, 2, 5 or a hybrid capsid AAV-1, AAV-2, AAV-5 or any combination thereof for targeting brain and/or neuronal cells; and one can select AAV-4 for targeting cardiac tissue; and one can select AAV8 for delivery to the liver. Thus, in some embodiments, an AAV vector or system thereof capable of producing AAV particles capable of targeting the brain and/or neuronal cells can be configured to generate AAV particles having serotypes 1, 2, 5 or a hybrid capsid AAV-1, AAV-2, AAV-5 or any combination thereof. In some embodiments, an AAV vector or system thereof capable of producing AAV particles capable of targeting cardiac tissue can be configured to generate an AAV particle having an AAV-4 serotype. In some embodiments, an AAV vector or system thereof capable of producing AAV particles capable of targeting the liver can be configured to generate an AAV having an AAV-8 serotype. In some embodiments, the AAV vector is a hybrid AAV vector or system thereof. Hybrid AAVs are AAVs that include genomes with elements from one serotype that are packaged into a capsid derived from at least one different serotype. For example, if it is the rAAV2/5 that is to be produced, and if the production method is based on the helper-free, transient transfection method discussed above, the 1st plasmid and the 3rd plasmid (the adeno helper plasmid) will be the same as discussed for rAAV2 production. However, the second plasmid, the pRepCap will be different. In this plasmid, called pRep2/Cap5, the Rep gene is still derived from AAV2, while the Cap gene is derived from AAVS. The production scheme is the same as the above-mentioned approach for AAV2 production. The resulting rAAV is called rAAV2/5, in which the genome is based on recombinant AAV2, while the capsid is based on AAVS. It is assumed the cell or tissue-tropism displayed by this AAV2/5 hybrid virus should be the same as that of AAVS.

A tabulation of certain AAV serotypes as to these cells can be found in Grimm, D. et al, J. Virol. 82: 5887-5911 (2008).

In some embodiments, the AAV vector or system thereof is configured as a “gutless” vector, similar to that described in connection with a retroviral vector. In some embodiments, the “gutless” AAV vector or system thereof can have the cis-acting viral DNA elements involved in genome amplification and packaging in linkage with the heterologous sequences of interest (e.g. the perturbation construct (s)).

In some embodiments, the AAV vectors are produced in in insect cells, e.g., Spodoptera frugiperda Sf9 insect cells, grown in serum-free suspension culture. Serum-free insect cells can be purchased from commercial vendors, e.g., Sigma Aldrich (EX-CELL 405).

In some embodiments, an AAV vector or vector system can contain or consists essentially of one or more polynucleotides encoding one or more components of a perturbation construct described herein. In some embodiments, the AAV vector or vector system can contain a plurality of cassettes comprising or consisting a first cassette comprising or consisting essentially of a two or more gRNAs (or their encoding polynucleotides), reporter gene, barcode, and a terminator, advantageously up to the packaging size limit of the vector, e.g., in total.

In one embodiment, the invention provides a non-naturally occurring or engineered composition comprising a perturbation construct, which is part of or tethered to an AAV capsid domain, i.e., VP1, VP2, or VP3 domain of Adeno-Associated Virus (AAV) capsid. In some embodiments, part of or tethered to an AAV capsid domain includes associated with associated with an AAV capsid domain. In some embodiments, the perturbation construct may be fused to the AAV capsid domain. In some embodiments, the fusion may be to the N-terminal end of the AAV capsid domain. As such, in some embodiments, the C-terminal end of the CRISPR enzyme is fused to the N-terminal end of the AAV capsid domain. In some embodiments, an NLS and/or a linker (such as a GlySer linker) may be positioned between the C-terminal end of the CRISPR enzyme and the N-terminal end of the AAV capsid domain. In some embodiments, the fusion may be to the C-terminal end of the AAV capsid domain. In some embodiments, this is not preferred due to the fact that the VP1, VP2 and VP3 domains of AAV are alternative splices of the same RNA and so a C-terminal fusion may affect all three domains. In some embodiments, the AAV capsid domain is truncated. In some embodiments, some or all of the AAV capsid domain is removed. In some embodiments, some of the AAV capsid domain is removed and replaced with a linker (such as a GlySer linker), typically leaving the N-terminal and C-terminal ends of the AAV capsid domain intact, such as the first 2, 5 or 10 amino acids. In this way, the internal (non-terminal) portion of the VP3 domain may be replaced with a linker. It is particularly preferred that the linker is fused to the CRISPR protein. A branched linker may be used, with the perturbation construct or component thereof fused to the end of one of the branches. This allows for some degree of spatial separation between the capsid and the perturbation construct or component thereof. In this way, the perturbation construct or component thereof is part of (or fused to) the AAV capsid domain.

In other embodiments, the perturbation construct or component thereof may be fused in frame within, i.e. internal to, the AAV capsid domain. Thus, in some embodiments, the AAV capsid domain again preferably retains its N-terminal and C-terminal ends. In this case, a linker is preferred, in some embodiments, either at one or both ends of the perturbation construct. In this way, the perturbation construct or component thereof is again part of (or fused to) the AAV capsid domain. In certain embodiments, the positioning of the perturbation construct or component thereof is such that the perturbation construct or component thereof is at the external surface of the viral capsid once formed. In one embodiment, the invention provides a non-naturally occurring or engineered composition comprising a perturbation construct or component thereof associated with a AAV capsid domain of Adeno-Associated Virus (AAV) capsid. Here, associated may mean in some embodiments fused, or in some embodiments bound to, or in some embodiments tethered to. The perturbation construct or component thereof may, in some embodiments, be tethered to the VP1, VP2, or VP3 domain. This may be via a connector protein or tethering system such as the biotin-streptavidin system. In one example, a biotinylation sequence (15 amino acids) could therefore be fused to the perturbation construct or component thereof. When a fusion of the AAV capsid domain, especially the N-terminus of the AAV AAV capsid domain, with streptavidin is also provided, the two will therefore associate with very high affinity. Thus, in some embodiments, provided is a composition or system comprising a perturbation construct or component thereof -biotin fusion and a streptavidin- AAV capsid domain arrangement, such as a fusion. The perturbation construct or component thereof -biotin and streptavidin- AAV capsid domain forms a single complex when the two parts are brought together. NLSs may also be incorporated between the perturbation construct or component thereof and the biotin; and/or between the streptavidin and the AAV capsid domain.

As such, provided is a fusion of a perturbation construct or component thereof with a connector protein specific for a high affinity ligand for that connector, whereas the AAV VP2 domain is bound to said high affinity ligand. For example, streptavidin may be the connector fused to the CRISPR enzyme, while biotin may be bound to the AAV VP2 domain. Upon co-localization, the streptavidin will bind to the biotin, thus connecting the perturbation construct or component thereof to the AAV VP2 domain. The reverse arrangement is also possible. In some embodiments, a biotinylation sequence (15 amino acids) could therefore be fused to the AAV VP2 domain, especially the N_terminus of the AAV VP2 domain. A fusion of the perturbation construct or component thereof with streptavidin is also preferred, in some embodiments. In some embodiments, the biotinylated AAV capsids with streptavidin-perturbation construct or component thereof are assembled in vitro. This way the AAV capsids should assemble in a straightforward manner and the perturbation construct or component thereof -streptavidin fusion can be added after assembly of the capsid. In other embodiments a biotinylation sequence (15 amino acids) could therefore be fused to the perturbation construct or component thereof, together with a fusion of the AAV VP2 domain, especially the N_terminus of the AAV VP2 domain, with streptavidin. For simplicity, a fusion of the perturbation construct or component thereof and the AAV VP2 domain is preferred in some embodiments. In some embodiments, the fusion may be to the N_terminal end of the perturbation construct or component thereof. In other words, in some embodiments, the AAV and perturbation construct or component thereof are associated via fusion. In some embodiments, the AAV and perturbation construct or component thereof are associated via fusion including a linker. Suitable linkers are discussed herein include, but are not limited to, Gly Ser linkers. Fusion to the N_term of AAV VP2 domain is preferred, in some embodiments. In some embodiments, the perturbation construct or component thereof comprises at least one Nuclear Localization Signal (NLS). In a further embodiment, the present invention provides compositions comprising the perturbation construct or component thereof and associated AAV VP2 domain or the polynucleotides or vectors described herein. Such compositions and formulations are discussed elsewhere herein.

An alternative tether may be to fuse or otherwise associate the AAV capsid domain to an adaptor protein which binds to or recognizes to a corresponding RNA sequence or motif. In some embodiments, the adaptor is or comprises a binding protein which recognizes and binds (or is bound by) an RNA sequence specific for said binding protein. In some embodiments, a preferred example is the MS2 (see Konermann et al. December 2014, cited infra, incorporated herein by reference) binding protein which recognizes and binds (or is bound by) an RNA sequence specific for the MS2 protein.

With the AAV capsid domain associated with the adaptor protein, the perturbation construct or component thereof may, in some embodiments, be tethered to the adaptor protein of the AAV capsid domain. The perturbation construct or component thereof may, in some embodiments, be tethered to the adaptor protein of the AAV capsid domain via the C perturbation construct or component thereof being in a complex with a modified guide, see Konermann et al. The modified guide is, in some embodiments, a sgRNA. In some embodiments, the modified guide comprises a distinct RNA sequence; see, e.g., International Patent Application No. PCT/US14/70175, incorporated herein by reference.

In some embodiments, distinct RNA sequence is an aptamer. Thus, corresponding aptamer-adaptor protein systems are preferred. One or more functional domains may also be associated with the adaptor protein. An example of a preferred arrangement would be: [AAV AAV capsid domain—adaptor protein]—[modified guide—perturbation construct or component thereof]

In certain embodiments, the positioning of the perturbation construct or component thereof is such that the perturbation construct or component thereof is at the internal surface of the viral capsid once formed. In one embodiment, the invention provides a non-naturally occurring or engineered composition comprising a perturbation construct or component thereof associated with an internal surface of an AAV capsid domain. Here again, associated may mean in some embodiments fused, or in some embodiments bound to, or in some embodiments tethered to. The perturbation construct or component thereof may, in some embodiments, be tethered to the VP1, VP2, or VP3 domain such that it locates to the internal surface of the viral capsid once formed. This may be via a connector protein or tethering system such as the biotin-streptavidin system as described above and/or elsewhere herein.

Herpes Simplex Viral Vectors

In some embodiments, the vector can be a Herpes Simplex Viral (HSV)-based vector or system thereof. HSV systems can include the disabled infections single copy (DISC) viruses, which are composed of a glycoprotein H defective mutant HSV genome. When the defective HSV is propagated in complementing cells, virus particles can be generated that are capable of infecting subsequent cells permanently replicating their own genome but are not capable of producing more infectious particles. See e.g. 2009. Trobridge. Exp. Opin. Biol. Ther. 9:1427-1436, whose techniques and vectors described therein can be modified and adapted for use in the CRISPR-Cas system of the present invention. In some embodiments where an HSV vector or system thereof is utilized, the host cell can be a complementing cell. In some embodiments, HSV vector or system thereof can be capable of producing virus particles capable of delivering a polynucleotide cargo of up to 150 kb. Thus, in some embodiment the CRISPR-Cas system polynucleotide(s) included in the HSV-based viral vector or system thereof can sum from about 0.001 to about 150 kb. HSV-based vectors and systems thereof have been successfully used in several contexts including various models of neurologic disorders. See e.g. Cockrell et al. 2007. Mol. Biotechnol. 36:184-204; Kafri T. 2004. Mol. Biol. 246:367-390; Balaggan and Ali. 2012. Gene Ther. 19:145-153; Wong et al. 2006. Hum. Gen. Ther. 2002. 17:1-9; Azzouz et al. J. Neruosci. 22L10302-10312; and Betchen and Kaplitt. 2003. Curr. Opin. Neurol. 16:487-493, whose techniques and vectors described therein can be modified and adapted for use in the CRISPR-Cas system of the present invention.

Poxvirus Vectors

In some embodiments, the vector can be a poxvirus vector or system thereof. In some embodiments, the poxvirus vector can result in cytoplasmic expression of perturbation construct or component thereof the present invention. In some embodiments the capacity of a poxvirus vector or system thereof can be about 25 kb or more. In some embodiments, a poxvirus vector or system thereof can include one or more perturbation constructs or component thereof described herein.

The administration of the cells or population of cells according to the present invention may be carried out in any convenient manner, including by aerosol inhalation, injection, ingestion, transfusion, implantation or transplantation. The cells or population of cells may be administered to a patient subcutaneously, intradermally, intratumorally, intranodally, intramedullary, intramuscularly, by intravenous or intralymphatic injection, or intraperitoneally. In one embodiment, the cell compositions of the present invention are preferably administered by intravenous injection.

The administration of the cells or population of cells can consist of the administration of 104-109 cells per kg body weight, preferably 10⁵ to 10⁶ cells/kg body weight including all integer values of cell numbers within those ranges. Dosing in CAR T cell therapies may for example involve administration of from 10⁶ to 10⁹ cells/kg, with or without a course of lymphodepletion, for example with cyclophosphamide. The cells or population of cells can be administrated in one or more doses. In another embodiment, the effective amount of cells are administrated as a single dose. In another embodiment, the effective amount of cells are administrated as more than one dose over a period time. Timing of administration is within the judgment of managing physician and depends on the clinical condition of the patient. The cells or population of cells may be obtained from any source, such as a blood bank or a donor. While individual needs vary, determination of optimal ranges of effective amounts of a given cell type for a particular disease or conditions are within the skill of one in the art. An effective amount means an amount which provides a therapeutic or prophylactic benefit. The dosage administrated will be dependent upon the age, health and weight of the recipient, kind of concurrent treatment, if any, frequency of treatment and the nature of the effect desired.

In another embodiment, the effective number of cells or composition comprising those cells are administrated parenterally. The administration can be an intravenous administration. The administration can be directly done by injection.

Screening

In particular embodiments, compounds are tested for their effects on the metabolic pathway described herein for cholesterol, for coprostanone or cholesterone, and/or for its effects on the COR proteins described herein. Methods of screening subject for increased risk of high cholesterol or an Inflammatory Bowel Disease are provided, comprising detecting the presence of one or more COR encoding microbes in the gut of a subject. In an aspect, detecting the presence of one or more COR encoding microbes in the subject comprises culturing one or more COR encoding microbes or detecting of one or more microbial COR genes or proteins in the fecal sample of the subject. Culturing and extracting from samples can be as known in the art, see, e.g. Lloyd-Price, J. et al. Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases. Nature 569, 655-662 (2019), incorporated herein by reference.

Particular screening applications of this invention relate to the testing of pharmaceutical compounds in drug research. The reader is referred generally to the standard textbook In vitro Methods in Pharmaceutical Research, Academic Press, 1997, and U.S. Pat. No. 5,030,015. In certain aspects of this invention, the culture is used to grow cells to play the role of test cells for standard drug screening and toxicity assays. Assessment of the activity of candidate pharmaceutical compounds generally involves combining the target cell (e.g., a myocyte, an adipocyte, a enterocyte, a cardiomyocyte or a hepatocyte) with the candidate compound, determining any change in the morphology, marker phenotype, or metabolic activity of the cells that is attributable to the candidate compound (compared with untreated cells or cells treated with an inert compound, such as vehicle), and then correlating the effect of the candidate compound with the observed change. The screening may be done because the candidate compound is designed to have a pharmacological effect on the target cell, or because a candidate compound may have unintended side effects on the target cell, e.g. gut cell. Alternatively, libraries can be screened without any predetermined expectations in hopes of identifying compounds with desired effects. Cytotoxicity can be determined in the first instance by the effect on cell viability and morphology. In certain embodiments, toxicity may be assessed by observation of vital staining techniques, ELISA assays, immunohistochemistry, and the like or by analyzing the cellular content of the culture, e.g., by total cell counts, and differential cell counts or by metabolic markers such as MTT and XTT.

Additional further uses of the culture include, but are not limited to, its use in research e.g., to elucidate mechanisms leading to the identification of novel targets for therapies, and to generate genotype-specific cells for disease modeling, including the generation of new therapies customized to different genotypes. Such customization can reduce adverse drug effects and help identify therapies appropriate to the patient's genotype.

In certain embodiments, the present invention provides method for high-throughput screening. “High-throughput screening” (HTS) refers to a process that uses a combination of modern robotics, data processing and control software, liquid handling devices, and/or sensitive detectors, to efficiently process a large amount of (e.g., thousands, hundreds of thousands, or millions of) samples in biochemical, genetic or pharmacological experiments, either in parallel or in sequence, within a reasonably short period of time (e.g., days). Preferably, the process is amenable to automation, such as robotic simultaneous handling of 96 samples, 384 samples, 1536 samples or more. A typical HTS robot tests up to 100,000 to a few hundred thousand compounds per day. The samples are often in small volumes, such as no more than 1 mL, 500 μl, 200 μl, 100 μl, 50 μl or less. Through this process, one can rapidly identify active compounds, small molecules, antibodies, proteins or polynucleotides which modulate a particular biomolecular/genetic pathway. The results of these experiments provide starting points for further drug design and for understanding the interaction or role of a particular biochemical process in biology. Thus “high-throughput screening” as used herein does not include handling large quantities of radioactive materials, slow and complicated operator-dependent screening steps, and/or prohibitively expensive reagent costs, etc.

A further aspect of the invention relates to a method for identifying an agent capable of modulating one or more phenotypic aspects of a gut cell or gut cell population as disclosed herein, comprising: a) applying a candidate agent to the cell or cell population; b) detecting modulation of one or more phenotypic aspects of the cell or cell population by the candidate agent, thereby identifying the agent.

The term “modulate” broadly denotes a qualitative and/or quantitative alteration, change or variation in that which is being modulated. Where modulation can be assessed quantitatively—for example, where modulation comprises or consists of a change in a quantifiable variable such as a quantifiable property of a cell or where a quantifiable variable provides a suitable surrogate for the modulation—modulation specifically encompasses both increase (e.g., activation) or decrease (e.g., inhibition) in the measured variable. The term encompasses any extent of such modulation, e.g., any extent of such increase or decrease, and may more particularly refer to statistically significant increase or decrease in the measured variable. By means of example, modulation may encompass an increase in the value of the measured variable by at least about 10%, e.g., by at least about 20%, preferably by at least about 30%, e.g., by at least about 40%, more preferably by at least about 50%, e.g., by at least about 75%, even more preferably by at least about 100%, e.g., by at least about 150%, 200%, 250%, 300%, 400% or by at least about 500%, compared to a reference situation without said modulation; or modulation may encompass a decrease or reduction in the value of the measured variable by at least about 10%, e.g., by at least about 20%, by at least about 30%, e.g., by at least about 40%, by at least about 50%, e.g., by at least about 60%, by at least about 70%, e.g., by at least about 80%, by at least about 90%, e.g., by at least about 95%, such as by at least about 96%, 97%, 98%, 99% or even by 100%, compared to a reference situation without said modulation. Preferably, modulation may be specific or selective, hence, one or more desired phenotypic aspects of a gut cell or gut cell population may be modulated without substantially altering other (unintended, undesired) phenotypic aspect(s).

The term “agent” broadly encompasses any condition, substance or agent capable of modulating one or more phenotypic aspects of a gut cell or gut cell population as disclosed herein. Such conditions, substances or agents may be of physical, chemical, biochemical and/or biological nature. The term “candidate agent” refers to any condition, substance or agent that is being examined for the ability to modulate one or more phenotypic aspects of an gut cell or gut cell population as disclosed herein in a method comprising applying the candidate agent to the gut cell or gut cell population (e.g., exposing the gut cell or gut cell population to the candidate agent or contacting the gut cell or gut cell population with the candidate agent) and observing whether the desired modulation takes place.

Agents may include any potential class of biologically active conditions, substances or agents, such as for instance antibodies, proteins, peptides, nucleic acids, oligonucleotides, small molecules, or combinations thereof.

By means of example but without limitation, agents can include low molecular weight compounds, but may also be larger compounds, or any organic or inorganic molecule effective in the given situation, including modified and unmodified nucleic acids such as antisense nucleic acids, RNAi, such as siRNA or shRNA, CRISPR/Cas systems, peptides, peptidomimetics, receptors, ligands, and antibodies, aptamers, polypeptides, nucleic acid analogues or variants thereof. Examples include an oligomer of nucleic acids, amino acids, or carbohydrates including without limitation proteins, oligonucleotides, ribozymes, DNAzymes, glycoproteins, siRNAs, lipoproteins, aptamers, and modifications and combinations thereof. Agents can be selected from a group comprising: chemicals; small molecules; nucleic acid sequences; nucleic acid analogues; proteins; peptides; aptamers; antibodies; or fragments thereof. A nucleic acid sequence can be RNA or DNA, and can be single or double stranded, and can be selected from a group comprising; nucleic acid encoding a protein of interest, oligonucleotides, nucleic acid analogues, for example peptide-nucleic acid (PNA), pseudo-complementary PNA (pc-PNA), locked nucleic acid (LNA), modified RNA (mod-RNA), single guide RNA etc. Such nucleic acid sequences include, for example, but are not limited to, nucleic acid sequence encoding proteins, for example that act as transcriptional repressors, antisense molecules, ribozymes, small inhibitory nucleic acid sequences, for example but are not limited to RNAi, shRNAi, siRNA, micro RNAi (mRNAi), antisense oligonucleotides, CRISPR guide RNA, for example that target a CRISPR enzyme to a specific DNA target sequence etc. A protein and/or peptide or fragment thereof can be any protein of interest, for example, but are not limited to: mutated proteins; therapeutic proteins and truncated proteins, wherein the protein is normally absent or expressed at lower levels in the cell. Proteins can also be selected from a group comprising; mutated proteins, genetically engineered proteins, peptides, synthetic peptides, recombinant proteins, chimeric proteins, antibodies, midibodies, minibodies, triabodies, humanized proteins, humanized antibodies, chimeric antibodies, modified proteins and fragments thereof. Alternatively, the agent can be intracellular within the cell as a result of introduction of a nucleic acid sequence into the cell and its transcription resulting in the production of the nucleic acid and/or protein modulator of a gene within the cell. In some embodiments, the agent is any chemical, entity or moiety, including without limitation synthetic and naturally-occurring non-proteinaceous entities. In certain embodiments, the agent is a small molecule having a chemical moiety. Agents can be known to have a desired activity and/or property, or can be selected from a library of diverse compounds.

In certain embodiments, an agent may be a hormone, a cytokine, a lymphokine, a growth factor, a chemokine, a cell surface receptor ligand such as a cell surface receptor agonist or antagonist, or a mitogen.

Methods of Treatment

Also provided is a method of treating a subject, e.g., a subject in need thereof, comprising delivering a steroid or sterol as described herein, a microbe as described herein, or a probiotic as described. Methods of reducing serum triglycerides and/or total cholesterol are provided and can comprise administering an engineered microbe as described herein, a probiotic composition as described herein, or a coprostanol or a variant thereof to a subject in need thereof

Methods of reducing cholesterol uptake in a subject are also provided, comprising delivering coprostanol or variant thereof in an effective amount to lower serum cholesterol in the subject. In particular embodiments, the coprostanol or a variant thereof is provided in a water dispersible solid form.

In certain embodiments, the coprostanol or variant thereof can be prepared in a water dispersible solid form. As an example, U.S. Pat. No. 6387411 describes methods of admixing hydrocarbon with stanols and/or sterols to make water dispersible products. Preparing sterol/stanol and sterol/stanol ester compositions with improved dispersibility is provided by co-melting the sterol/stanol and/or sterol/stanol ester with highly branched hydrocarbons and then grinding the resulting product.

Methods of reducing serum triglycerides and/or total cholesterol are provided and can comprise administering an engineered microbe as described herein, a probiotic composition as described herein, or a coprostanol or a variant thereof to a subject in need thereof.

In particular embodiments, methods of reducing uptake of serum triglycerides and/or total cholesterol are administered to a subject in need thereof In one aspect, the subject has hypercholesterolemia.

Where any treatment is occurring ex vivo, for example in a cell culture, then it will be appreciated that the term ‘subject’ may be replaced by the phrase “cell or cell culture.”

Compositions comprising the present system for use in said method of treatment are also provided. A kit of parts may be provided including such compositions.

In particular embodiments, methods of reducing uptake or serum triglycerides and/or total cholesterol are administered to a subject in need thereof In one aspect, the subject has hypercholesterolemia.

In some embodiments, the microbe, e.g., is delivered to the tissue of interest by, for example, an intramuscular injection, while other times the delivery is via intravenous, transdermal, intranasal, oral, mucosal, or other delivery methods. Such delivery may be either via a single dose, or multiple doses. Fecal Microbiota Transplant (FMT) infusion in the colon is one manner of delivery. See, e.g. Kim et al., Fecal Microbiota Transplantation: An Update on Clinical Practice, Clin. Endosc. 2019 Ma; 52(2: 1376-143, doi: 10.5946/ce.2019.009. Oral administration of the probiotics as described herein are another preferred route of administration. The method sof treatment may be combined with screening methods as described herein. In an example embodiment, screening methods may determine a subject in need of a method of treatment, e.g., upon screening and determination of a subject with elevated cholesterol in serum or stool, or a lower content of COR enzymes in a sample, administration of probiotics, COR expressing microbes, and/or compositions as described herein can be provided.

One skilled in the art understands that the actual dosage to be delivered herein may vary greatly depending upon a variety of factors, such as the vector choice, the target cell, organism, or tissue, the general condition of the subject to be treated, the degree of transformation/modification sought, the administration route, the administration mode, the type of transformation/modification sought, etc.

Such a dosage may further contain, for example, a carrier (water, saline, ethanol, glycerol, lactose, sucrose, calcium phosphate, gelatin, dextran, agar, pectin, peanut oil, sesame oil, etc.), a diluent, a pharmaceutically-acceptable carrier (e.g., phosphate-buffered saline), a pharmaceutically-acceptable excipient, and/or other compounds known in the art. The dosage may further contain one or more pharmaceutically acceptable salts such as, for example, a mineral acid salt such as a hydrochloride, a hydrobromide, a phosphate, a sulfate, etc.; and the salts of organic acids such as acetates, propionates, malonates, benzoates, etc. Additionally, auxiliary substances, such as wetting or emulsifying agents, pH buffering substances, gels or gelling materials, flavorings, colorants, microspheres, polymers, suspension agents, etc. may also be present herein. In addition, one or more other conventional pharmaceutical ingredients, such as preservatives, humectants, suspending agents, surfactants, antioxidants, anticaking agents, fillers, chelating agents, coating agents, chemical stabilizers, etc. may also be present, especially if the dosage form is a reconstitutable form. Suitable exemplary ingredients include microcrystalline cellulose, carboxymethylcellulose sodium, polysorbate 80, phenylethyl alcohol, chlorobutanol, potassium sorbate, sorbic acid, sulfur dioxide, propyl gallate, the parabens, ethyl vanillin, glycerin, phenol, parachlorophenol, gelatin, albumin and a combination thereof. A thorough discussion of pharmaceutically acceptable excipients is available in REMINGTON' S PHARMACEUTICAL SCIENCES (Mack Pub. Co., N.J. 1991) which is incorporated by reference herein. The terms “subject,” “individual,” and “patient” are used interchangeably herein to refer to a vertebrate, preferably a mammal, more preferably a human. Mammals include, but are not limited to, murines, simians, humans, farm animals, sport animals, and pets. Tissues, cells and their progeny of a biological entity obtained in vivo or cultured in vitro are also encompassed.

The terms “therapeutic agent”, “therapeutic capable agent” or “treatment agent” are used interchangeably and refer to a molecule or compound that confers some beneficial effect upon administration to a subject. The beneficial effect includes enablement of diagnostic determinations; amelioration of a disease, symptom, disorder, or pathological condition; reducing or preventing the onset of a disease, symptom, disorder or condition; and generally counteracting a disease, symptom, disorder or pathological condition.

As used herein, “treatment” or “treating,” or “palliating” or “ameliorating” are used interchangeably. These terms refer to an approach for obtaining beneficial or desired results including but not limited to a therapeutic benefit and/or a prophylactic benefit. By therapeutic benefit is meant any therapeutically relevant improvement in or effect on one or more diseases, conditions, or symptoms under treatment. For prophylactic benefit, the compositions may be administered to a subject at risk of developing a particular disease, condition, or symptom, or to a subject reporting one or more of the physiological symptoms of a disease, even though the disease, condition, or symptom may not have yet been manifested.

The term “effective amount” or “therapeutically effective amount” refers to the amount of an agent that is sufficient to effect beneficial or desired results. The therapeutically effective amount may vary depending upon one or more of: the subject and disease condition being treated, the weight and age of the subject, the severity of the disease condition, the manner of administration and the like, which can readily be determined by one of ordinary skill in the art. The term also applies to a dose that will provide an image for detection by any one of the imaging methods described herein. The specific dose may vary depending on one or more of: the particular agent chosen, the dosing regimen to be followed, whether it is administered in combination with other compounds, timing of administration, the tissue to be imaged, and the physical delivery system in which it is carried.

The terms “diagnosis” and “monitoring” are commonplace and well-understood in medical practice. By means of further explanation and without limitation the term “diagnosis” generally refers to the process or act of recognising, deciding on or concluding on a disease or condition in a subject on the basis of symptoms and signs and/or from results of various diagnostic procedures (such as, for example, from knowing the presence, absence and/or quantity of one or more biomarkers characteristic of the diagnosed disease or condition).

The terms “prognosing” or “prognosis” generally refer to an anticipation on the progression of a disease or condition and the prospect (e.g., the probability, duration, and/or extent) of recovery. A good prognosis of the diseases or conditions taught herein may generally encompass anticipation of a satisfactory partial or complete recovery from the diseases or conditions, preferably within an acceptable time period. A good prognosis of such may more commonly encompass anticipation of not further worsening or aggravating of such, preferably within a given time period. A poor prognosis of the diseases or conditions as taught herein may generally encompass anticipation of a substandard recovery and/or unsatisfactorily slow recovery, or to substantially no recovery or even further worsening of such.

The one or more COR homologs and/or microbes of the present invention are useful in methods of identifying patient populations at risk or suffering from an immune response based on a detected level of expression, activity and/or function of one or more COR homologs and/or microbes. These biomarkers are also useful in monitoring subjects undergoing treatments and therapies for suitable or aberrant response(s) to determine efficaciousness of the treatment or therapy and for selecting or modifying therapies and treatments that would be efficacious in treating, delaying the progression of or otherwise ameliorating a symptom. The one or more COR homologs and/or microbes provided herein are useful for selecting a group of patients at a specific state of a disease with accuracy that facilitates selection of treatments.

The term “monitoring” generally refers to the follow-up of a disease or a condition in a subject for any changes which may occur over time.

The terms also encompass prediction of a disease. The terms “predicting” or “prediction” generally refer to an advance declaration, indication or foretelling of a disease or condition in a subject not (yet) having said disease or condition. For example, a prediction of a disease or condition in a subject may indicate a probability, chance or risk that the subject will develop said disease or condition, for example within a certain time period or by a certain age. Said probability, chance or risk may be indicated inter alfa as an absolute value, range or statistics, or may be indicated relative to a suitable control subject or subject population (such as, e.g., relative to a general, normal or healthy subject or subject population). Hence, the probability, chance or risk that a subject will develop a disease or condition may be advantageously indicated as increased or decreased, or as fold-increased or fold-decreased relative to a suitable control subject or subject population. As used herein, the term “prediction” of the conditions or diseases as taught herein in a subject may also particularly mean that the subject has a ‘positive’ prediction of such, i.e., that the subject is at risk of having such (e.g., the risk is significantly increased vis-a-vis a control subject or subject population). The term “prediction of no” diseases or conditions as taught herein as described herein in a subject may particularly mean that the subject has a ‘negative’ prediction of such, i.e., that the subject's risk of having such is not significantly increased vis-a-vis a control subject or subject population.

For example, distinct reference values may represent the prediction of a risk (e.g., an abnormally elevated risk) of having a given disease or condition as taught herein vs. the prediction of no or normal risk of having said disease or condition. In another example, distinct reference values may represent predictions of differing degrees of risk of having such disease or condition.

In a further example, distinct reference values can represent the diagnosis of a given disease or condition as taught herein vs. the diagnosis of no such disease or condition (such as, e.g., the diagnosis of healthy, or recovered from said disease or condition, etc.). In another example, distinct reference values may represent the diagnosis of such disease or condition of varying severity.

In yet another example, distinct reference values may represent a good prognosis for a given disease or condition as taught herein vs. a poor prognosis for said disease or condition. In a further example, distinct reference values may represent varyingly favourable or unfavourable prognoses for such disease or condition.

Such comparison may generally include any means to determine the presence or absence of at least one difference and optionally of the size of such difference between values being compared. A comparison may include a visual inspection, an arithmetical or statistical comparison of measurements. Such statistical comparisons include, but are not limited to, applying a rule.

Reference values may be established according to known procedures previously employed. For example, a reference value may be established in an individual or a population of individuals characterised by a particular diagnosis, prediction and/or prognosis of said disease or condition (i.e., for whom said diagnosis, prediction and/or prognosis of the disease or condition holds true). Such population may comprise without limitation 2 or more, 10 or more, 100 or more, or even several hundred or more individuals.

A “deviation” of a first value from a second value may generally encompass any direction (e.g., increase: first value >second value; or decrease: first value <second value) and any extent of alteration.

For example, a deviation may encompass a decrease in a first value by, without limitation, at least about 10% (about 0.9-fold or less), or by at least about 20% (about 0.8-fold or less), or by at least about 30% (about 0.7-fold or less), or by at least about 40% (about 0.6-fold or less), or by at least about 50% (about 0.5-fold or less), or by at least about 60% (about 0.4-fold or less), or by at least about 70% (about 0.3-fold or less), or by at least about 80% (about 0.2-fold or less), or by at least about 90% (about 0.1-fold or less), relative to a second value with which a comparison is being made.

For example, a deviation may encompass an increase of a first value by, without limitation, at least about 10% (about 1.1-fold or more), or by at least about 20% (about 1.2-fold or more), or by at least about 30% (about 1.3-fold or more), or by at least about 40% (about 1.4-fold or more), or by at least about 50% (about 1.5-fold or more), or by at least about 60% (about 1.6-fold or more), or by at least about 70% (about 1.7-fold or more), or by at least about 80% (about 1.8-fold or more), or by at least about 90% (about 1.9-fold or more), or by at least about 100% (about 2-fold or more), or by at least about 150% (about 2.5-fold or more), or by at least about 200% (about 3-fold or more), or by at least about 500% (about 6-fold or more), or by at least about 700% (about 8-fold or more), or like, relative to a second value with which a comparison is being made.

Preferably, a deviation may refer to a statistically significant observed alteration. For example, a deviation may refer to an observed alteration which falls outside of error margins of reference values in a given population (as expressed, for example, by standard deviation or standard error, or by a predetermined multiple thereof, e.g., ±1×SD or ±2×SD or ±3×SD, or ±1×SE or ±2×SE or ±3×SE). Deviation may also refer to a value falling outside of a reference range defined by values in a given population (for example, outside of a range which comprises ≥40%, ≥50%, ≥60%, ≥70%, ≥75% or ≥80% or ≥85% or ≥90% or ≥95% or even ≥100% of values in said population).

In a further embodiment, a deviation may be concluded if an observed alteration is beyond a given threshold or cut-off. Such threshold or cut-off may be selected as generally known in the art to provide for a chosen sensitivity and/or specificity of the prediction methods, e.g., sensitivity and/or specificity of at least 50%, or at least 60%, or at least 70%, or at least 80%, or at least 85%, or at least 90%, or at least 95%.

For example, receiver-operating characteristic (ROC) curve analysis can be used to select an optimal cut-off value of the quantity of a given immune cell population, biomarker or gene or gene product signatures, for clinical use of the present diagnostic tests, based on acceptable sensitivity and specificity, or related performance measures which are well-known per se, such as positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR+), negative likelihood ratio (LR−), Youden index, or similar.

The present invention also may comprise a kit with a detection reagent that binds to one or more COR homologs and/or microbes, or biomarkers thereof.

Formulations

Agents described herein, including analogs thereof, and/or agents discovered to have medicinal value using the methods described herein are useful for administration in subject at risk or having conditions related to elevated cholesterol and/or inflammatory bowel disease. As used herein, the term “inflammatory bowel disease”, includes, e.g., Crohn's disease (CD) and ulceratidve colitis (UC). Elevated cholesterol can increase the risk of atherosclerosis, cardiovascular disease, peripheral arterial disease, transient ischemic attack, stroke, and heart attack. Elevated cholesterol may be measured as more than 200 mg/dL, more than 210 mg/dL, more than 220 mg/dL, more than 230 mg/dL, or more than 240 mg/dL, at or above 5.2 mmol/L, at or above 5.4 mmol/L, at or above 5.6 mmol/L, at or above 5.8 mmol/L, at or above 6.0 mmol/L, or at or above 6.2 mmol/L. Accordingly, agents described herein can be administered to subjects having, or at risk of, these conditions.

For therapeutic uses, the compositions or agents identified using the methods disclosed herein may be administered systemically, for example, formulated in a pharmaceutically-acceptable buffer such as physiological saline. Preferable routes of administration include, for example, subcutaneous, intravenous, interperitoneally, intramuscular, or intradermal injections that provide continuous, sustained levels of the drug in the patient. Treatment of human patients or other animals will be carried out using a therapeutically effective amount of a therapeutic identified herein in a physiologically-acceptable carrier. Suitable carriers and their formulation are described, for example, in Remington's Pharmaceutical Sciences by E. W. Martin. The amount of the therapeutic agent to be administered varies depending upon the manner of administration, the age and body weight of the patient, and with the clinical symptoms. Generally, amounts will be in the range of those used for other agents used in the treatment of other diseases associated with diabetes.

The disclosed compounds may be administered alone (e.g., in saline or buffer) or using any delivery vehicles known in the art. For instance the following delivery vehicles have been described: Cochleates; Emulsomes, ISCOMs; Liposomes; Live bacterial vectors (e.g., Salmonella, Escherichia coli, Bacillus calmatte-guerin, Shigella, Lactobacillus); Live viral vectors (e.g., Vaccinia, adenovirus, Herpes Simplex); Microspheres; Nucleic acid vaccines; Polymers; Polymer rings; Proteosomes; Sodium Fluoride; Transgenic plants; Virosomes; Virus-like particles. Other delivery vehicles are known in the art and some additional examples are provided below.

The disclosed compounds may be administered by any route known, such as, for example, orally, transdermally, intravenously, cutaneously, subcutaneously, nasally, intramuscularly, intraperitoneally, intracranially, and intracerebroventricularly.

In certain embodiments, disclosed compounds are administered at dosage levels greater than about 0.001mg/kg, such as greater than about 0.01 mg/kg or greater than about 0.1 mg/kg. For example, the dosage level may be from about 0.001 mg/kg to about 50 mg/kg such as from about 0.01 mg/kg to about 25 mg/kg, from about 0.1 mg/kg to about 10 mg/kg, or from about 1 mg/kg to about 5 mg/kg of subject body weight per day, one or more times a day, to obtain the desired therapeutic effect. It will also be appreciated that dosages smaller than about 0.001 mg/kg or greater than about 50 mg/kg (for example about 50-100 mg/kg) can also be administered to a subj ect.

In one embodiment, the compound is administered once-daily, twice-daily, or three-times daily. In one embodiment, the compound is administered continuously (i.e., every day) or intermittently (e.g., 3-5 days a week). In another embodiment, administration could be on an intermittent schedule.

Further, administration less frequently than daily, such as, for example, every other day may be chosen. In additional embodiments, administration with at least 2 days between doses may be chosen. By way of example only, dosing may be every third day, bi-weekly or weekly. As another example, a single, acute dose may be administered. Alternatively, compounds can be administered on a non-regular basis e.g., whenever symptoms begin. For any compound described herein the effective amount can be initially determined from animal models.

Toxicity and efficacy of the compounds can be determined by standard pharmaceutical procedures in cell cultures or experimental animals, e.g., for determining the LD50 (the dose lethal to 50% of the population) and the ED50 (the dose therapeutically effective in 50% of the population). The dose ratio between toxic and therapeutic effects is the therapeutic index and it can be expressed as the ratio LD50/ED50. Compounds that exhibit large therapeutic indices may have a greater effect when practicing the methods as disclosed herein. While compounds that exhibit toxic side effects may be used, care should be taken to design a delivery system that targets such compounds to the site of affected tissue in order to minimize potential damage to uninfected cells and, thereby, reduce side effects.

Data obtained from the cell culture assays and animal studies can be used in formulating a range of dosage of the compounds disclosed herein for use in humans. The dosage of such agents lies within a range of circulating concentrations that include the ED50 with little or no toxicity. The dosage may vary within this range depending upon the dosage form employed and the route of administration utilized. For any compound used in the disclosed methods, the effective dose can be estimated initially from cell culture assays. A dose may be formulated in animal models to achieve a circulating plasma concentration range that includes the IC50 (i.e., the concentration of the test compound that achieves a half- maximal inhibition of symptoms) as determined in cell culture. Such information can be used to more accurately determine useful doses in humans. Levels in plasma may be measured, for example, by high performance liquid chromatography. In certain embodiments, pharmaceutical compositions may comprise, for example, at least about 0.1% of an active compound. In other embodiments, the active compound may comprise between about 2% to about 75% of the weight of the unit, or between about 25% to about 60%, for example, and any range derivable therein. Multiple doses of the compounds are also contemplated.

The formulations disclosed herein are administered in pharmaceutically acceptable solutions, which may routinely contain pharmaceutically acceptable concentrations of salt, buffering agents, preservatives, compatible carriers, and optionally other therapeutic ingredients.

For use in therapy, an effective amount of one or more disclosed compounds can be administered to a subject by any mode that delivers the compound(s) to the desired surface, e.g., mucosal, systemic. Administering the pharmaceutical composition of the present disclosure may be accomplished by any means known to the skilled artisan. Disclosed compounds may be administered orally, transdermally, intravenously, cutaneously, subcutaneously, nasally, intramuscularly, intraperitoneally, intracranially, or intracerebroventricularly.

For oral administration, one or more compounds can be formulated readily by combining the active compound(s) with pharmaceutically acceptable carriers well known in the art. Such carriers enable the compounds to be formulated as tablets, pills, dragees, capsules, liquids, gels, syrups, slurries, suspensions and the like, for oral ingestion by a subject to be treated. Pharmaceutical preparations for oral use can be obtained as solid excipient, optionally grinding a resulting mixture, and processing the mixture of granules, after adding suitable auxiliaries, if desired, to obtain tablets or dragee cores. Suitable excipients are, in particular, fillers such as sugars, including lactose, sucrose, mannitol, or sorbitol; cellulose preparations such as, for example, maize starch, wheat starch, rice starch, potato starch, gelatin, gum tragacanth, methyl cellulose, hydroxypropylmethyl-cellulose, sodium carboxymethylcellulose, and/or polyvinylpyrrolidone (PVP). If desired, disintegrating agents may be added, such as the cross-linked polyvinyl pyrrolidone, agar, or alginic acid or a salt thereof such as sodium alginate. Optionally the oral formulations may also be formulated in saline or buffers, i.e. EDTA for neutralizing internal acid conditions or may be administered without any carriers.

Also specifically contemplated are oral dosage forms of one or more disclosed compounds. The compound(s) may be chemically modified so that oral delivery of the derivative is efficacious. Generally, the chemical modification contemplated is the attachment of at least one moiety to the compound itself, where said moiety permits (a) inhibition of proteolysis; and (b) uptake into the blood stream from the stomach or intestine. Also desired is the increase in overall stability of the compound(s) and increase in circulation time in the body. Examples of such moieties include: polyethylene glycol, copolymers of ethylene glycol and propylene glycol, carboxymethyl cellulose, dextran, polyvinyl alcohol, polyvinyl pyrrolidone and polyproline. Other polymers that could be used are poly-1,3-dioxolane and poly-1,3,6-tioxocane. In some aspects for pharmaceutical usage, as indicated above, are polyethylene glycol moieties.

The location of release may be the stomach, the small intestine (the duodenum, the jejunum, or the ileum), or the large intestine. One skilled in the art has available formulations which will not dissolve in the stomach, yet will release the material in the duodenum or elsewhere in the intestine. In some aspects, the release will avoid the deleterious effects of the stomach environment, either by protection of the compound or by release of the biologically active material beyond the stomach environment, such as in the intestine.

To ensure full gastric resistance a coating impermeable to at least pH 5.0 is important. Examples of the more common inert ingredients that are used as enteric coatings are cellulose acetate trimellitate (CAT), hydroxypropylmethylcellulose phthalate (HPMCP), HPMCP 50, HPMCP 55, polyvinyl acetate phthalate (PVAP), Eudragit L30D, Aquateric, cellulose acetate phthalate (CAP), Eudragit L, Eudragit S, and Shellac. These coatings may be used as mixed films.

A coating or mixture of coatings can also be used on tablets, which are not intended for protection against the stomach. This can include sugar coatings, or coatings which make the tablet easier to swallow. Capsules may consist of a hard shell (such as gelatin) for delivery of dry therapeutic i.e. powder; for liquid forms, a soft gelatin shell may be used. The shell material of cachets could be thick starch or other edible paper. For pills, lozenges, molded tablets or tablet triturates, moist massing techniques can be used.

The disclosed compounds can be included in the formulation as fine multiparticulates in the form of granules or pellets of particle size about 1 mm. The formulation of the material for capsule administration could also be as a powder, lightly compressed plugs or even as tablets. The compound could be prepared by compression.

Colorants and flavoring agents may all be included. For example, the compound may be formulated (such as by liposome or microsphere encapsulation) and then further contained within an edible product, such as a refrigerated beverage containing colorants and flavoring agents.

One may dilute or increase the volume of compound delivered with an inert material. These diluents could include carbohydrates, especially mannitol, α-lactose, anhydrous lactose, cellulose, sucrose, modified dextrans and starch. Certain inorganic salts may be also be used as fillers including calcium triphosphate, magnesium carbonate and sodium chloride. Some commercially available diluents are Fast-Flo, Emdex, STA-Rx 1500, Emcompress and Avicell. Disintegrants may be included in the formulation of the therapeutic into a solid dosage form. Materials used as disintegrates include but are not limited to starch, including the commercial disintegrant based on starch, Explotab. Sodium starch glycolate, Amberlite, sodium carboxymethylcellulose, ultramylopectin, sodium alginate, gelatin, orange peel, acid carboxymethyl cellulose, natural sponge and bentonite may all be used. Another form of the disintegrants is the insoluble cationic exchange resins. Powdered gums may be used as disintegrants and as binders and these can include powdered gums such as agar, Karaya or tragacanth. Alginic acid and its sodium salt are also useful as disintegrants.

Binders may be used to hold the therapeutic together to form a hard tablet and include materials from natural products such as acacia, tragacanth, starch and gelatin. Others include methyl cellulose (MC), ethyl cellulose (EC) and carboxymethyl cellulose (CMC). Polyvinyl pyrrolidone (PVP) and hydroxypropylmethyl cellulose (HPMC) could both be used in alcoholic solutions to granulate the therapeutic.

An anti-frictional agent may be included in the formulation of the compound to prevent sticking during the formulation process. Lubricants may be used as a layer between the compound and the die wall, and these can include but are not limited to; stearic acid including its magnesium and calcium salts, polytetrafluoroethylene (PTFE), liquid paraffin, vegetable oils and waxes. Soluble lubricants may also be used such as sodium lauryl sulfate, magnesium lauryl sulfate, polyethylene glycol of various molecular weights, Carbowax 4000 and 6000. Glidants that might improve the flow properties of the drug during formulation and to aid rearrangement during compression might be added. The glidants may include starch, talc, pyrogenic silica and hydrated silicoaluminate.

To aid dissolution of the compound into the aqueous environment a surfactant might be added as a wetting agent. Surfactants may include anionic detergents such as sodium lauryl sulfate, dioctyl sodium sulfosuccinate and dioctyl sodium sulfonate. Cationic detergents might be used and could include benzalkonium chloride or benzethomium chloride. The list of potential non-ionic detergents that could be included in the formulation as surfactants are lauromacrogol 400, polyoxyl 40 stearate, polyoxyethylene hydrogenated castor oil 10, 50 and 60, glycerol monostearate, polysorbate 40, 60, 65 and 80, sucrose fatty acid ester, methyl cellulose and carboxymethyl cellulose. These surfactants could be present in the formulation of the compound either alone or as a mixture in different ratios.

Pharmaceutical preparations which can be used orally include push-fit capsules made of gelatin, as well as soft, sealed capsules made of gelatin and a plasticizer, such as glycerol or sorbitol. The push-fit capsules can contain the active ingredients in admixture with filler such as lactose, binders such as starches, and/or lubricants such as talc or magnesium stearate and, optionally, stabilizers. In soft capsules, the active compounds may be dissolved or suspended in suitable liquids, such as fatty oils, liquid paraffin, or liquid polyethylene glycols. In addition, stabilizers may be added. Microspheres formulated for oral administration may also be used. Such microspheres have been well defined in the art. All formulations for oral administration should be in dosages suitable for such administration.

For buccal administration, the compositions may take the form of tablets or lozenges formulated in conventional manner.

For administration by inhalation, the compounds for use according to the present disclosure may be conveniently delivered in the form of an aerosol spray presentation from pressurized packs or a nebulizer, with the use of a suitable propellant, e.g., dichlorodifluoromethane, trichlorofluoromethane, dichlorotetrafluoroethane, carbon dioxide or other suitable gas. In the case of a pressurized aerosol the dosage unit may be determined by providing a valve to deliver a metered amount. Capsules and cartridges of e.g. gelatin for use in an inhaler or insufflator may be formulated containing a powder mix of the compound and a suitable powder base such as lactose or starch.

Also contemplated herein is pulmonary delivery of the compounds of the disclosure. The compound is delivered to the lungs of a mammal while inhaling and traverses across the lung epithelial lining to the blood stream using methods well known in the art.

Contemplated for use in the practice of methods disclosed herein are a wide range of mechanical devices designed for pulmonary delivery of therapeutic products, including but not limited to nebulizers, metered dose inhalers, and powder inhalers, all of which are familiar to those skilled in the art. Some specific examples of commercially available devices suitable for the practice of these methods are the Ultravent nebulizer, manufactured by Mallinckrodt, Inc., St. Louis, Mo.; the Acorn II nebulizer, manufactured by Marquest Medical Products, Englewood, Colorado; the Ventolin metered dose inhaler, manufactured by Glaxo Inc., Research Triangle Park, N.C.; and the Spinhaler powder inhaler, manufactured by Fisons Corp., Bedford, Mass.

All such devices require the use of formulations suitable for the dispensing of compound. Typically, each formulation is specific to the type of device employed and may involve the use of an appropriate propellant material, in addition to the usual diluents, and/or carriers useful in therapy. Also, the use of liposomes, microcapsules or microspheres, inclusion complexes, or other types of carriers is contemplated. Chemically modified compound may also be prepared in different formulations depending on the type of chemical modification or the type of device employed. Formulations suitable for use with a nebulizer, either jet or ultrasonic, will typically comprise compound dissolved in water at a concentration of about 0.1 to about 25 mg of biologically active compound per mL of solution. The formulation may also include a buffer and a simple sugar (e.g., for stabilization and regulation of osmotic pressure). The nebulizer formulation may also contain a surfactant, to reduce or prevent surface induced aggregation of the compound caused by atomization of the solution in forming the aerosol.

Formulations for use with a metered-dose inhaler device will generally comprise a finely divided powder containing the compound suspended in a propellant with the aid of a surfactant. The propellant may be any conventional material employed for this purpose, such as a chlorofluorocarbon, a hydrochlorofluorocarbon, a hydrofluorocarbon, or a hydrocarbon, including trichlorofluoromethane, dichlorodifiuoromethane, dichlorotetrafluoroethanol, and 1,1,1,2-tetrafluoroethane, or combinations thereof. Suitable surfactants include sorbitan trioleate and soya lecithin. Oleic acid may also be useful as a surfactant.

Formulations for dispensing from a powder inhaler device will comprise a finely divided dry powder containing compound and may also include a bulking agent, such as lactose, sorbitol, sucrose, or mannitol in amounts which facilitate dispersal of the powder from the device, e.g., about 50 to about 90% by weight of the formulation. The compound should most advantageously be prepared in particulate form with an average particle size of less than 10 mm (or microns), such as about 0.5 to about 5 mm, for an effective delivery to the distal lung.

Nasal delivery of a disclosed compound is also contemplated. Nasal delivery allows the passage of a compound to the blood stream directly after administering the therapeutic product to the nose, without the necessity for deposition of the product in the lung. Formulations for nasal delivery include those with dextran or cyclodextran.

For nasal administration, a useful device is a small, hard bottle to which a metered dose sprayer is attached. In one embodiment, the metered dose is delivered by drawing the pharmaceutical composition solution into a chamber of defined volume, which chamber has an aperture dimensioned to aerosolize and aerosol formulation by forming a spray when a liquid in the chamber is compressed. The chamber is compressed to administer the pharmaceutical composition. In a specific embodiment, the chamber is a piston arrangement. Such devices are commercially available.

Alternatively, a plastic squeeze bottle with an aperture or opening dimensioned to aerosolize an aerosol formulation by forming a spray when squeezed is used. The opening is usually found in the top of the bottle, and the top is generally tapered to partially fit in the nasal passages for efficient administration of the aerosol formulation. In some aspects, the nasal inhaler will provide a metered amount of the aerosol formulation, for administration of a measured dose of the drug.

The compound, when it is desirable to deliver them systemically, may be formulated for parenteral administration by injection, e.g., by bolus injection or continuous infusion. Formulations for injection may be presented in unit dosage form, e.g., in ampoules or in multi-dose containers, with an added preservative. The compositions may take such forms as suspensions, solutions or emulsions in oily or aqueous vehicles, and may contain formulatory agents such as suspending, stabilizing and/or dispersing agents.

Pharmaceutical formulations for parenteral administration include aqueous solutions of the active compounds in water-soluble form. Additionally, suspensions of the active compounds may be prepared as appropriate oily injection suspensions.

Suitable lipophilic solvents or vehicles include fatty oils such as sesame oil, or synthetic fatty acid esters, such as ethyl oleate or triglycerides, or liposomes. Aqueous injection suspensions may contain substances which increase the viscosity of the suspension, such as sodium carboxymethyl cellulose, sorbitol, or dextran. Optionally, the suspension may also contain suitable stabilizers or agents which increase the solubility of the compounds to allow for the preparation of highly concentrated solutions.

Alternatively, the active compounds may be in powder form for constitution with a suitable vehicle, e.g., sterile pyrogen-free water, before use.

The compounds may also be formulated in rectal or vaginal compositions such as suppositories or retention enemas, e.g., containing conventional suppository bases such as cocoa butter or other glycerides.

In addition to the formulations described previously, the compounds may also be formulated as a depot preparation. Such long acting formulations may be formulated with suitable polymeric or hydrophobic materials (for example as an emulsion in an acceptable oil) or ion exchange resins, or as sparingly soluble derivatives, for example, as a sparingly soluble salt.

The pharmaceutical compositions also may comprise suitable solid or gel phase carriers or excipients. Examples of such carriers or excipients include but are not limited to calcium carbonate, calcium phosphate, various sugars, starches, cellulose derivatives, gelatin, and polymers such as polyethylene glycols.

Suitable liquid or solid pharmaceutical preparation forms are, for example, aqueous or saline solutions for inhalation, microencapsulated, encochleated, coated onto microscopic gold particles, contained in liposomes, nebulized, aerosols, pellets for implantation into the skin, or dried onto a sharp object to be scratched into the skin. The pharmaceutical compositions also include granules, powders, tablets, coated tablets, (micro)capsules, suppositories, syrups, emulsions, suspensions, creams, drops or preparations with protracted release of active compounds, in whose preparation excipients and additives and/or auxiliaries such as disintegrants, binders, coating agents, swelling agents, lubricants, flavorings, sweeteners or solubilizers are customarily used as described above. The pharmaceutical compositions are suitable for use in a variety of drug delivery systems.

The compounds may be administered per se (neat) or in the form of a pharmaceutically acceptable salt. When used in medicine the salts should be pharmaceutically acceptable, but non-pharmaceutically acceptable salts may conveniently be used to prepare pharmaceutically acceptable salts thereof. Such salts include, but are not limited to, those prepared from the following acids: hydrochloric, hydrobromic, sulphuric, nitric, phosphoric, maleic, acetic, salicylic, p-toluene sulphonic, tartaric, citric, methane sulphonic, formic, malonic, succinic, naphthalene-2-sulphonic, and benzene sulphonic. Also, such salts can be prepared as alkaline metal or alkaline earth salts, such as sodium, potassium or calcium salts of the carboxylic acid group.

Suitable buffering agents include: acetic acid and a salt (about 1-2% w/v); citric acid and a salt (about 1 -3% w/v); boric acid and a salt (about 0.5-2.5% w/v); and phosphoric acid and a salt (about 0.8-2% w/v). Suitable preservatives include benzalkonium chloride (about 0.003-0.03% w/v); chlorobutanol (about 0.3-0.9% w/v); parabens (about 0.01-0.25% w/v) and thimerosal (about 0.004- 0.02% w/v).

The pharmaceutical compositions contain an effective amount of a disclosed compound optionally included in a pharmaceutically acceptable carrier. The term pharmaceutically acceptable carrier means one or more compatible solid or liquid filler, diluents or encapsulating substances which are suitable for administration to a human or other vertebrate animal. The term carrier denotes an organic or inorganic ingredient, natural or synthetic, with which the active ingredient is combined to facilitate the application. The components of the pharmaceutical compositions also are capable of being commingled with the compounds, and with each other, in a manner such that there is no interaction which would substantially impair the desired pharmaceutical efficiency.

Pharmaceuticals

Another aspect of the invention provides a composition, pharmaceutical composition or vaccine comprising microbes, coprostanol or derivatives thereof, or a combination thereof as taught herein.

A method of reducing cholesterol uptake in a subject, comprising delivering coprostanol or variant thereof in an effective amount to lower serum cholesterol in the subject. In embodiments, the coprostanol or variant thereof is provided in a water dispersible solid form, as described herein.

A “pharmaceutical composition” refers to a composition that usually contains an excipient, such as a pharmaceutically acceptable carrier that is conventional in the art and that is suitable for administration to cells or to a subject.

The term “pharmaceutically acceptable” as used throughout this specification is consistent with the art and means compatible with the other ingredients of a pharmaceutical composition and not deleterious to the recipient thereof

As used herein, “carrier” or “excipient” includes any and all solvents, diluents, buffers (such as, e.g., neutral buffered saline or phosphate buffered saline), solubilisers, colloids, dispersion media, vehicles, fillers, chelating agents (such as, e.g., EDTA or glutathione), amino acids (such as, e.g., glycine), proteins, disintegrants, binders, lubricants, wetting agents, emulsifiers, sweeteners, colorants, flavourings, aromatisers, thickeners, agents for achieving a depot effect, coatings, antifungal agents, preservatives, stabilisers, antioxidants, tonicity controlling agents, absorption delaying agents, and the like. The use of such media and agents for pharmaceutical active components is well known in the art. Such materials should be non-toxic and should not interfere with the activity of the cells or active components.

Pharmaceutical formulations of microbes may comprise freshly thawed liquid microbial suspensions or refrigerated gelatin capsules filled with freeze-dried microbial biomass. enteric-coated gelatin capsules or buffers for delivery.

The precise nature of the carrier or excipient or other material will depend on the route of administration. For example, the composition may be in the form of a parenterally acceptable aqueous solution, which is pyrogen-free and has suitable pH, isotonicity and stability. The pharmaceutical composition can be applied parenterally, rectally, orally or topically. Preferably, the pharmaceutical composition may be used for intravenous, intramuscular, subcutaneous, peritoneal, peridural, rectal, nasal, pulmonary, mucosal, or oral application. In a preferred embodiment, the pharmaceutical composition according to the invention is intended to be used as an infuse. The skilled person will understand that compositions which are to be administered orally or topically will usually not comprise cells, although it may be envisioned for oral compositions to also comprise cells, for example when gastro-intestinal tract indications are treated. Each of the cells or active components (e.g., modulants, immunomodulants, antigens) as discussed herein may be administered by the same route or may be administered by a different route. By means of example, and without limitation, cells may be administered parenterally and other active components may be administered orally.

Liquid pharmaceutical compositions may generally include a liquid carrier such as water or a pharmaceutically acceptable aqueous solution. For example, physiological saline solution, tissue or cell culture media, dextrose or other saccharide solution or glycols such as ethylene glycol, propylene glycol or polyethylene glycol may be included.

The composition may include one or more cell protective molecules, cell regenerative molecules, growth factors, anti-apoptotic factors or factors that regulate gene expression in the cells. Such substances may render the cells independent of their environment.

Such pharmaceutical compositions may contain further components ensuring the viability of the cells therein. For example, the compositions may comprise a suitable buffer system (e.g., phosphate or carbonate buffer system) to achieve desirable pH, more usually near neutral pH, and may comprise sufficient salt to ensure isoosmotic conditions for the cells to prevent osmotic stress. For example, suitable solution for these purposes may be phosphate-buffered saline (PBS), sodium chloride solution, Ringer's Injection or Lactated Ringer's Injection, as known in the art. Further, the composition may comprise a carrier protein, e.g., albumin (e.g., bovine or human albumin), which may increase the viability of the cells.

Further suitably pharmaceutically acceptable carriers or additives are well known to those skilled in the art and for instance may be selected from proteins such as collagen or gelatine, carbohydrates such as starch, polysaccharides, sugars (dextrose, glucose and sucrose), cellulose derivatives like sodium or calcium carboxymethylcellulose, hydroxypropyl cellulose or hydroxypropylmethyl cellulose, pregeletanized starches, pectin agar, carrageenan, clays, hydrophilic gums (acacia gum, guar gum, arabic gum and xanthan gum), alginic acid, alginates, hyaluronic acid, polyglycolic and polylactic acid, dextran, pectins, synthetic polymers such as water-soluble acrylic polymer or polyvinylpyrrolidone, proteoglycans, calcium phosphate and the like.

For example, microbial cells that have proliferated, or that are being differentiated in culture dishes, can be transferred onto three-dimensional solid supports in order to cause them to multiply and/or continue the differentiation process by incubating the solid support in a liquid nutrient medium of the invention, if necessary.

The microbes can be administered in a manner that permits them to survive, grow, and/or propagate and/or differentiate towards desired cell types (e.g. differentiation) or cell states. The cells or cell populations may be grafted to or may migrate to and engraft within the intended organ.

In certain embodiments, a pharmaceutical cell preparation as taught herein may be administered in a form of liquid composition. In embodiments, the cells or pharmaceutical composition comprising such can be administered systemically, topically, within an organ or at a site of organ dysfunction or lesion.

Preferably, the pharmaceutical compositions may comprise a therapeutically effective amount of the specified microbes and/or other active components. The term “therapeutically effective amount” refers to an amount which can elicit a biological or medicinal response in a tissue, system, animal or human that is being sought by a researcher, veterinarian, medical doctor or other clinician, and in particular can prevent or alleviate one or more of the local or systemic symptoms or features of a disease or condition being treated.

The invention is further described in the following examples, which do not limit the scope of the invention described in the claims.

EXAMPLES Example 1

Applicants describe herein the discovery of a widespread family of cholesterol oxidoreductase (COR) enzymes from a Glade of uncultured gut bacteria. The presence of the cor genes in a microbiome predicts coprostanol presence in stool, and can be used as a biomarker for microbial coprostanol formation in the intestine, removing the need for fecal metabolomics measurements. By expanding our analysis to datasets with paired stool metagenomics and serum lipid measurements, Applicants have also shown that the presence of COR enzymes is significantly and positively associated with decreased total cholesterol and triglyceride levels in serum, linking the presence of this microbial metabolism with changes in serum lipid levels.

The main group of bacteria reported to transform cholesterol to coprostanol were first isolated from the cecal contents of a rat in 1973, and are members of the genus Eubacterium. Bacteria with similar physical and biochemical characteristics, including the ability to generate coprostanol, have since been reported from a variety of different sources including rat, baboons and humans.¹¹⁻¹³ The only currently available strain from this group of organisms is Eubacterium coprostanoligenes HL (ATCC 51222), which was isolated from a hog sewage lagoon.¹⁴ Applicants found that cultures of this strain converted cholesterol to coprostanol under previously published conditions (FIG. 7). Although additional studies have suggested that Bacteroides dorei and Lactobacillus species can also perform this transformation, Applicants did not observe coprostanol formation using a variety of B. dorei or Lactobacillus isolates (Table 3),¹⁴⁻¹⁶ suggesting that this activity may be a strain-specific adaptation in this group of organisms.^(17,18)

TABLE 3 Strains tested for coprostanol formation in monoculture Strain Growth Condition 1 Growth Condition 2 Comments Bacteroides dorei DIAB13 Basal Cholesterol media 1:1 (BHI Hemin Vitamin K:Basal Grown Cholesterol media) anaerobically Bacteroides dorei DIAB58 Basal Cholesterol media 1:1 (BHI Hemin Vitamin K:Basal Grown Cholesterol media) anaerobically Bacteroides dorei DIAB59 Basal Cholesterol media 1:1 (BHI Hemin Vitamin K:Basal Grown Cholesterol media) anaerobically Bacteroides dorei Novartis 291 Basal Cholesterol media 1:1 (BHI Hemin Vitamin K:Basal Grown Cholesterol media) anaerobically Bacteroides dorei Novartis 331 Basal Cholesterol media 1:1 (BHI Hemin Vitamin K:Basal Grown Cholesterol media) anaerobically Bacteroides dorei Novartis 631 Basal Cholesterol media 1:1 (BHI Hemin Vitamin K:Basal Grown Cholesterol media) anaerobically Bacteroides dorei Novartis 662 Basal Cholesterol media 1:1 (BHI Hemin Vitamin K:Basal Grown Cholesterol media) anaerobically Bacteroides dorei Novartis 667 Basal Cholesterol media 1:1 (BHI Hemin Vitamin K:Basal Grown Cholesterol media) anaerobically Bifidobacterium longum ATCC MRS medium with 0.15% (wt/vol) 1:1 (MRS + Cysteine:Basal Grown both 15697 L_cysteine HCL with 100 uM Cholesterol media) anaerobically and cholesterol aerobically Bifidobacterium bifidum ATCC MRS medium with 0.15% (wt/vol) 1:1 (MRS + Cysteine:Basal Grown both 29521 L_cysteine HCL with 100 uM Cholesterol media) anaerobically and cholesterol aerobically Bifidobacterium catenalum MRS medium with 0.15% (wt/vol) 1:1 (MRS + Cysteine:Basal Grown both ATCC 27539 L_cysteine HCL with 100 uM Cholesterol media) anaerobically and cholesterol aerobically Bifidobacterium animalis MRS medium with 0.15% (wt/vol) 1:1 (MRS + Cysteine:Basal Grown both ATCC 700541 L_cysteine HCL with 100 uM Cholesterol media) anaerobically and cholesterol aerobically Bifidobacterium adolenscentis MRS medium with 0.15% (wt/vol) 1:1 (MRS + Cysteine:Basal Grown both ATCC 15703 L_cysteine HCL with 100 uM Cholesterol media) anaerobically and cholesterol aerobically Lactococcus lactis MRS medium with 0.15% (wt/vol) 1:1 (MRS + Cysteine:Basal Grown both DIABIMMUNE Isolate L_cysteine HCL with 100 uM Cholesterol media) anaerobically and DIAB158 cholesterol aerobically Lactobacillus crispatus MRS medium with 0.15% (wt/vol) 1:1 (MRS + Cysteine:Basal Grown both L_cysteine HCL with 100 uM Cholesterol media) anaerobically and cholesterol aerobically Lactobacillus gasseri DSM MRS medium with 0.15% (wt/vol) 1:1 (MRS + Cysteine:Basal Grown both 20243 L_cysteine HCL with 100 uM Cholesterol media) anaerobically and cholesterol aerobically Lactobacillus rhamnosus MRS medium with 0.15% (wt/vol) 1:1 (MRS + Cysteine:Basal Grown both DIAMIMMUNE Isolate L_cysteine HCL with 100 uM Cholesterol media) anaerobically and DIAB117 cholesterol aerobically Eubacterium Basal Cholesterol media Grown coprostanoligenes anaerobically Faecalibacterium prausnitzii Basal Cholesterol media 1:1 (BHI Hemin Vitamin K:Basal Grown ATCC 27766 Cholesterol media) anaerobically Coprococcus comes ATCC Basal Cholesterol media 1:1 (BHI Hemin Vitamin K:Basal Grown 27758 Cholesterol media) anaerobically 1:1 (GAM plus 1% Glucose Grown Ruminoccus bromii ATCC GAM plus 1% Glucose broth + broth: Basal Cholesterol anaerobically 27255 100 uM cholesterol media) Clostridium leptum DSM753 GAM plus 1% Glucose broth + 1:1 (GAM plus 1% Glucose Grown 100 uM cholesterol broth: Basal Cholesterol anaerobically media)

While the publicly available E. coprostanoligenes strain was isolated from a hog sewage lagoon, there is evidence that related strains are responsible for this transformation in humans.¹⁹ Thus, Applicants used E. coprostanoligenes as a model to study the enzymes responsible for coprostanol formation. Applicants first incubated E. coprostanoligenes cell lysates with cholesterol (1) and observed the formation of cholestenone (2) in a NADP⁺-dependent manner (FIG. 1A, FIG. 9). This first step is concordant with published labeling studies in human stool and in pure cultures of E. coprostanoligenes suggesting the metabolism of cholesterol proceeds through an indirect reduction pathway involving the initial oxidation of cholesterol to cholestenone (2), followed by reduction of the Δ4,5-double bond to form coprostanone (3) and re-reduction of the ketone to generate coprostanol (FIG. 1A).^(20,21) Feeding 2 and 3 to E. coprostanoligenes cultures resulted in coprostanol formation, further supporting their proposed roles as on-pathway intermediates.²⁰

To identify candidate enzymes for the conversion of cholesterol to 2, Applicants first searched the genome of E. coprostanoligenes for genes encoding homologs of known sterol metabolizing enzymes. As the gut is an anaerobic environment, Applicants reasoned that the well-studied oxygen-dependent cholesterol oxidases (PF09129) found in many Streptomyces species are unlikely to be responsible for mediating this transformation.²² The only characterized, oxygen-independent enzyme capable of this reaction is AcmA (PF01370) from the soil bacterium Sterolibacterium denilrificans. ²³ Unexpectedly, the E. coprostanoligenes genome did not harbor homologs of either class of enzymes.

Another class of enzymes with the potential to perform the chemistry required for cholesterol oxidation is the hydroxysteroid dehydrogenases (HSDs), which belong to the short-chain dehydrogenase (SDR) enzyme family (PF00106). These enzymes are found in many gut microbes and can oxidize hydroxyl groups of bile acids to ketones in an oxygen-independent, NAD(P)⁺ dependent manner.²⁴ However, no characterized HSDs from the gut microbiota are known to accept cholesterol as a substrate. Using biochemically characterized HSDs from phylogenetically related gut microbes as a query, Applicants found four homologs of these enzymes encoded in the genome of E. coprostanoligenes (Table 4). Applicants expressed each of these putative HSDs in E. coli and evaluated the reactivity of cell lysates toward cholesterol (FIG. 1B). One of these proteins, ECOP170 (WP 078769004.1), oxidized cholesterol to 2, completing the first putative step in cholesterol metabolism by this organism. ECOP170 also catalyzed the oxidation of coprostanol (4) to coprostanone (3), suggesting it may be responsible for both the first (oxidation of cholesterol to cholestenone) and last (reduction of coprostanone to coprostanol) steps of this pathway (FIG. 1C). In order to further validate the role of ECOP170 in cholesterol metabolism, levels of the transcripts encoding all four HSDs were measured when E. coprostanoligenes was cultivated with and without cholesterol (FIG. 10, Table 5). Of these genes, ECOP170 had the largest increase in expression in medium containing cholesterol compared to media without cholesterol after 2 days of growth (28.9-fold increase). Furthermore, N-terminal His6-tagged ECOP170 showed a dependence on NADP⁺ and not NAD⁺, which is in agreement with the activity Applicants observed in E. coprostanoligenes lysate (FIG. 11). Together, these data suggests that ECOP170 is the enzyme responsible for the oxidation of cholesterol to 2 in E. coprostanoligenes.

TABLE 4 Genes in E. coprostanoligenes with homology to known HSDs NCBI Accession Amino Acid Target number Nucleotide Sequence Sequence ECOP140 WP_078768704.1 ATGACACATGAAAATTTAAAGGGCAGGGTTGCCGTTGTT MTHENLKGRVAVV ACAGGCGGCGGCGGAGTCCTTTGCGGACAGTTTGCACA TGGGGVLCGQFAQ AACTCTTGCAAAGCAGGGCTGTAAGGTTGCCGTGCTTGA TLAKQGCKVAVLDL TTTGAACGAGGCAGCTGCACAGGCTTGTGCTGACGAAAT NEAAAQACADEIVA CGTTGCAAACGGCGGTGAGGCTATTGCAGTAGGTTGCA NGGEAIAVGCNVLD ATGTTCTTGACAGCGAATCAATGCAAAATGCAAGAAAAA SESMQNARKIINEKL TCATCAACGAAAAACTCGGCACTTGCGATATTCTTCTCAA GTCDILLNGAGGNN TGGTGCAGGTGGCAATAATCCAAAGGGCACAACCACAA PKGTTTKDTLEQIDL AGGACACTCTTGAGCAAATCGACCTTGTTCAAAAGGACG VQKDENVKTFFDLD AGAATGTAAAGACCTTTTTCGACCTTGATGCAGACGGAA ADGISFVFNLNFLGT TTTCTTTTGTATTCAATCTCAACTTCCTCGGCACTCTTATTC LIPTQVFARDMVEK CAACACAGGTTTTTGCAAGAGATATGGTGGAAAAAGAG EHACIVMITSMNAF CACGCTTGCATTGTTATGATAACTTCAATGAATGCGTTTA RPLTRIPAYSAAKAA GACCGCTCACCCGTATCCCTGCATATTCGGCTGCCAAAG VKNFTEWMAVHFA CTGCGGTAAAGAACTTTACCGAATGGATGGCTGTTCACT PMGIRVNAIAPGFF TTGCACCAATGGGAATCAGAGTAAACGCAATCGCTCCGG STKQNATLLWNED GATTTTTCTCAACCAAGCAGAATGCAACACTTCTTTGGAA GTPTARTGKILAATP TGAGGACGGCACTCCGACCGCCCGTACAGGCAAAATCCT MNRFGEPEELDGTL TGCCGCAACTCCAATGAATCGTTTTGGCGAGCCGGAGGA LFLCDEAYSGFITGV ACTTGACGGAACACTTCTGTTCCTTTGCGATGAGGCATAC NIPVDGGFNAYSGV AGCGGATTCATCACAGGCGTGAACATCCCTGTTGACGGA (SEQ ID NO: 42) GGCTTCAACGCATACAGCGGAGTATAA (SEQ ID NO: 41) ECOP170 WP_078769004.1 ATGAGCACATGTTGGCTTCAAGGCAAGACTGTTGTTGTT MSTCWLQGKTVVV ACCGGCGCTTCAGGCGGTATGGGTGCAGGCATTGCCGC TGASGGMGAGIAA AACTCTTATTAAAAAACACGGTTGTACTGTTATCGGTGTG TLIKKHGCTVIGVAR GCAAGAAACGAAAAGAAAATGCTTAAGTTCGTTGATGA NEKKMLKFVDELGE GCTTGGCGAAACTTATGCAAAGCAGTTTTCTTATGAGCTT TYAKQFSYELFDVSS TTTGATGTAAGTTCAAAAGAGAATTGGGAAAAATTTGCA KENWEKFAEELQEK GAGGAGCTTCAGGAAAAGGGCGTTAAGGTTGATGTTCT GVKVDVLINNAGILP CATCAACAACGCAGGTATTCTTCCAAAGTTCAAGAGATTT KFKRFDRYSYEEIER GACAGATATTCTTATGAAGAAATCGAAAGAGCTATGAAC AMNINFYSCVYSVK ATCAACTTCTACTCTTGCGTATATTCAGTTAAGACAATGT TMLPMLLQSSTPAII TGCCAATGCTTCTTCAGTCAAGCACACCGGCTATCATCAA NIDSSAALMTLAGT TATTGACTCATCTGCTGCTCTTATGACACTTGCAGGCACA SMYSASKAALKGFT TCAATGTACTCTGCATCAAAGGCTGCACTTAAGGGCTTC EALRVEFQGKMFV ACAGAAGCACTTCGTGTTGAATTCCAAGGCAAGATGTTT GLVCPGFTKTDIFSG GTTGGTCTTGTTTGCCCGGGCTTCACAAAGACAGACATTT QGDADMSNGAKV TCTCCGGTCAGGGCGATGCTGATATGAGCAACGGCGCA MDMISTDCDKMVK AAGGTTATGGATATGATTTCAACCGACTGCGACAAGATG MIMFGIEHKTPMQ GTTAAAATGATTATGTTCGGCATTGAGCACAAGACACCT VHGFDAHAMSVFN ATGCAGGTTCACGGTTTTGATGCACACGCAATGAGCGTT RLMPVYGSKLFSSI TTCAACCGCCTTATGCCTGTTTACGGCTCAAAGCTCTTCA MRMSNVDIFKEVFS GCTCAATTATGAGAATGTCAAATGTTGACATTTTCAAGG D (SEQ ID NO: 44) AAGTATTTTCTGATTAA (SEQ ID NO: 43) ECOP452 WP_078767936.1 ATGGATAAAAAATTATTAGGAAAAGTAATAGTTGTATCC MDKKLLGKVIVVSG GGTGGAACAAAAGGTGTGGGACGTGCCGCATCCGAAGA GTKGVGRAASEEFA ATTTGCTCGTCAGGGGGCAAAAGTTGTTATTGGTGGTAG RQGAKVVIGGRDEE AGATGAAGAATCTGCTTTAAAATCAATAAGAATTATGCG SALKSIRIMRTYGSD TACCTACGGTAGTGATGGTCTGTTTGTTCATACTGATTTG GLFVHTDLLNIDDCK TTAAATATTGATGATTGTAAGAATCTTTTTGATAAAGCAT NLFDKAYEKFGRID ACGAAAAGTTTGGAAGAATTGATGGCTTTTTCAACTATG GFFNYAGVTPVSPL CAGGTGTAACGCCTGTTTCTCCGCTTGATACTTGTGACGA DTCDEDTFDWVMD AGACACATTTGATTGGGTTATGGATGTTAACTTCAAATCT VNFKSCFFCCQQAI TGTTTTTTCTGTTGTCAGCAAGCAATTAAATATATGCGTG KYMRESGGGSIVLT AAAGTGGTGGAGGATCAATTGTTCTTACAGGCTCTGCTC GSAHAWGGQKDR ACGCATGGGGTGGGCAAAAAGATAGAGCGGCTTATGCG AAYACSKGVLLTLM TGTTCAAAAGGCGTGTTGTTGACTCTTATGGAGCATATT EHIANNYAVEQIRC GCCCATAATTATGCTGTTGAGCAAATAAGATGTAATTATT NYLTLGWTPTEGEV TGACTTTAGGCTGGACACCTACTGAAGGTGAAGTTAGTT SLRISQGESEAELRQ TAAGAATATCACAAGGTGAGTCCGAAGCTGAATTGCGAC RASDILPMGRMLER AAAGAGCATCCGATATCCTTCCTATGGGAAGAATGCTGG TDYLEGLVYLMSDS AAAGAACTGATTATTTAGAAGGGTTAGTTTATTTGATGTC SSMMTGSTFRITAG AGATTCTTCGTCGATGATGACTGGCTCGACATTCAGAATT EYI (SEQ ID NO: ACAGCAGGAGAATATATTTGA (SEQ ID NO: 45) 46) ECOP726 WP_078768913.1 ATGAAAAAAGCATTAATAACAGGCGGTGCGACCGGAAT MKKALITGGATGIG CGGCAAGGCAACCGCAATTTTGTTGCAACAAAACGGATA KATAILLQQNGYDV CGATGTGTACATCACATACAACCAAACAAAGCCGGACTA YITYNQTKPDYEVN TGAAGTGAACGCAATAAAGTGCAATCTTGAAAATATTGA AIKCNLENIDEIESAV CGAAATCGAAAGTGCCGTTGAATCAATCGGCAGAGTTGA ESIGRVDLLVNNAG CCTACTTGTGAACAACGCAGGTGTGTCTATCATAAAAAT VSIIKMINDITVEDYE GATAAACGACATCACAGTCGAGGACTACGAAAAAATGA KMTAVNERAVYFAS CCGCCGTGAACGAAAGAGCGGTGTATTTTGCAAGCAAGT KFSALKMIREQSGAI TTTCTGCGTTGAAAATGATAAGAGAACAAAGCGGTGCGA INISSMWGQVGAS TAATCAACATCAGTTCAATGTGGGGTCAGGTCGGTGCTT CETLYSMTKAGIIGL CGTGCGAAACCCTATATTCAATGACAAAGGCAGGAATCA TKALAKELAPSNITV TCGGGCTGACAAAGGCACTTGCAAAGGAACTTGCGCCA NCIAPGIIDTRMNN AGCAACATAACCGTGAATTGCATTGCACCGGGAATAATC MFDAEELKEEVPLG GACACGAGAATGAACAATATGTTTGACGCCGAGGAATT RLGTPEEIAQAVLFL GAAAGAAGAAGTGCCTCTCGGCAGGCTCGGAACTCCCG AESPYITGQILGVNG AAGAAATTGCACAGGCTGTGCTGTTTCTTGCAGAAAGTC GAII (SEQ ID NO: CGTACATCACGGGTCAGATTTTAGGCGTCAACGGCGGA 48) GCTATAATATAA (SEQ ID NO: 47)

TABLE 5 Primers used to measure transcript level of 4 HSD genes in E. coprostanoligenes Efficiency from gDNA Forward/ standard Target Reverse Sequence curve 16S rRNA F GTGTGTAGCCCAGCACATAA (SEQ ID NO: 49) 100.7 R GCTACGCAAGAGCACTCTAAT (SEQ ID NO: 50) ECOP140 F GAGCACGCTTGCATTGTTATG (SEQ ID NO: 51) 100.8 R ACAGCCATCCATTCGGTAAAG (SEQ ID NO: 52) ECOP170 F GGGCTTCACAAAGACAGACA (SEQ ID NO: 53)  99 R GTGCTCAATGCCGAACATAATC (SEQ ID NO: 54) ECOP452 F GCATCCGATATCCTTCCTATGG (SEQ ID NO: 55)  99.5 R ATGTCGAGCCAGTCATCATC (SEQ ID NO: 56) ECOP726 F AAATCGAAAGTGCCGTTGAATC (SEQ ID NO: 57) 101 R CCTCGACTGTGATGTCGTTTAT (SEQ ID NO: 58) Thermocycler conditions: 1) 50° C., 2:00 2) 95° C., 8:30 3) 95° C., 0:10 4) 60° C., 0:10 5) 72° C., 0:10 6) Go to 3, 39X

Hypothesizing that related enzymes mediate this transformation in the human gut microbiome, Applicants searched the NCBI non-redundant protein database and identified 10 homologs of ECOP170 (>60% amino acid identity and 98-100% query coverage) (FIG. 1D). Interestingly, these homologs were only detected in co-abundant gene groups (CAGs), i.e. microbial species that lack cultured representatives and have only been identified in gut microbiome assemblies.' Since there are currently no available human gut microbial isolates encoding a homolog of the E. coprostanoligenes enzyme, Applicants tested the activities of ECOP170 homologs in vitro by heterologous expression in E. coli (Table 6, Table 7). All of the six ECOP170 homologs examined oxidized cholesterol to 2 in E. coli lysates (FIG. 1E, FIG. 12A-12B). Furthermore, ECOP170 and its human-associated homologs showed activity towards coprostanol but were unable to oxidize the primary bile acids cholic acid and chenodeoxycholic acid (FIG. 1E, FIG. 12A-12B). These data suggest that the human-associated homologs of ECOP170 enzymes are specifically involved in the first and last steps (FIG. 1A) of coprostanol biosynthesis in human gut microbiomes.

TABLE 6 Primers used to obtain cholesterol oxidoreductase genes of interest from stool samples CAG Sequence ID (from Forward/ name this study) Reverse Sequence CAG: >G104929_k105_ F GTTTAACTTTAAGAAGGAGATATACCATGTATT 217 46920_10 GTTGGTTAGACGG (SEQ ID NO: 59) R TTAGCAGCCGGATCTCATTACTCCGCCAGCTCG GCGT (SEQ ID NO: 60) CAG: >ERR2017655_k103_ F GTTTAACTTTAAGAAGGAGATATACCATGAGTG 251 67238_7 ATTTTACTAAAGC (SEQ ID NO: 61) R TTAGCAGCCGGATCTCATTAATCATCAAACACT TCGC (SEQ ID NO: 62) CAG: >ERR2017515_k79_ F GTTTAACTTTAAGAAGGAGATATACCATGAGTG 341 109830_2 ATTATACTAAAGC (SEQ ID NO: 63) R TTAGCAGCCGGATCTCATCAATCATCGAATACT TCGC (SEQ ID NO: 64) The primers contain adapters to pET28 plasmids for Gibson assembly. Sequences targeting the ORF are bolded.

TABLE 7A Gene blocks ordered of codon optimized cholesterol oxidoreductase genes from metagenomic species using the pET28 vector. CAG name Sequence ID Sequence Comments CAG:180 >ERR2017635_ ATGGATCAGAATTGGATGAACAATACCACCGTGATCGTTACCGGCGCCA Codon k103_44512_ GCGGTGGTATGGGCAAAGGCATCGCCGAATCTTTAATCGTGGACCACG optimized 154 GCTGCACCGTGATTGGCATCGCCCGCAGCGAGGAGAAAATGAAGAAGG TGGTGGAGGAGCTGGGCCCGAATGCCGAGAAGTTCAGCTACAAGCTGT TCGACGTGAGTGTGGAGCAGAACTGGATCGACTTCGCCAAGTATCTGG AGGACAACGACATCCACCCAGACATTTTAGTGAACAATGCGGGCATTTT ACCGAAGTTCGACCGCTTCGAACACTACAGCATGGCGGATATCGAAAAG GCGATGAACATCAACTTCTATAGCGCCGTGTACAGCATCCATACTTTACT GCCGATGATTTTAAAGAGCAAAACGCCGGGCATCATCAACATCGATAGC AGCGCCTCTTTAATGTCTTTAGCCGGTACGAGTGTGTACAGCGCCAGCA AAGCGGCTTTAAAATCTTTAAGCGAATCTTTACGCGAGGAACTCCGCGG TAAATGCTACGTGGGCATCGTTTGCCCGGGCTTCACCAAAACGGATATC TTCCGCAGCCAAGATGCGAGCGATGCCAAAGGCCAGAAAATGCTGAAC GCGGTGAGCACGAGCTGCGACCGCATGGTGAAAATGATCATGCACGAT ATCCGCACCCGCCGCCCACTGGGTGTGCATGGTTTCGATGCCGCCTTCAT GAACTACTTCGGTCGTTTAATGCCGGTGCTGGGCGGTCACATCTTCAGC AGCGTTATGAAAATCAGCAAACTGCCGCTGTTCGACCCGGTTTTCAAAG ATTAA (SEQ ID NO: 65) CAG:528 >HSM67VEO_R_ ACCGTGAACGTTGTGTACACCATCATCTACGGCGGCAAGCTGTTCATGA Codon k105_8042_1 GCAACTGCTGGCTGAGTGGTAAAACTTGTGTTGTTACCGGTGCGAGCGG optimized- TGGTATGGGTGCCGGTATTGCGGCGACTTTAATCAAGAAGCACGGCTGC Contains AAAGTGATCGGCGTTGCGCGCAGCGAACCGAAAATGAAAAAATTTATC Gibson GAAGAACTGGGCCCGACGTACGCCGAACAGTTCAGCTACAAGCTGTTCG adaptors ACGTGAGCAAGAACGAGAACTGGGTGAATTTCGCGCAAGAACTGAAAG ACGAGGGTGTGAAGATCGACGTTCTGGTGAACAACGCCGGCATTTTACC GAAATTCAAACGCTTCGACCGCTACGAGATGGACGAAATCGAAAAAGC GATTAATATTAATTTCTACAGCTGTGTGTACAGCATCAAAGCTTTACTGC CGATGTTATTAGAAAGCAACGACCCCGGTATTGTGAACATCGATAGCAG CGCCGCTTTAATGAGTCTCGCGGGTACCAGCATGTACAGCGCGAGCAAA GCGGCTTTAAAAGGCTTTACCGAAGCTTTACGCGAAGAATTCCGCGGCA AAATCTACGTTGGTTTAGTGTGCCCGGGCTTCACCAAGACCGACATTTTC CGCGATCAGAAAAACGATGGCGGCAAGGGCCAGAAAGTGATGGACAT GATCAGCACCGATTGCGATTTAATGGTGAAGATGATCATGTTCGGCATC GAACATAAACAAGCTTTACAGATCCATGGCATGGATGCCCACGCGATGA GCGTGTTCGGCAAGCTGCTGCCGGTGAATGGTAGCCGTCTGTTCAGCGC CATCATGAAAGCCGCCGACATCGACCTCTTTAACGACGTGTTCCGCAACT AA (SEQ ID NO: 66) CAG:678 >MSMA26AX_R_ GTTTAACTTTAAGAAGGAGATATACCATGAGTAACTGGCTGGACGGTAA Codon k105_23254_2 AACGTGCATCGTTACCGGTGCCAGCGGTGGTATGGGTGCCGGTATCGC optimized- GGCGACGCTGATTAAAAAGCACGGTTGCCGCGTGATCGGCATTGCCCG Contains CAGCGAACCGAAGATGCTCAAGTTCATCGAGGAGCTGGGTCCGACCTAC Gibson GCGGAGCAGTTCAGCTACAAACTCTTCGATGTGAGCAAGAACGAAAATT adaptors GGGTGGATCTGGCGGCCGAACTCGAGAAGCAGAACATCCAAGTTGACG TGCTGGTTAACAACGCGGGCATCCTCCCGAAGTTCAAGCGTTTCGACCG CTACGACATGGACGAAATCGAGAAGGCGATCAATATTAACTTCTACAGC TGCGTGTACAGCATCAAGGCGCTGCTGCCGATGCTGATGAAAAGCAGC GATCCGGGCATCATCAACATCGATAGTAGCGCCGCGCTGATGAGTCTGG CGGGTACCAGTATGTACAGCGCGAGCAAAGCGGCGCTGAAGGGTTTCA CGGAAAGTCTGCGCGAGGAGTTTCGCGGCAAAGTTTACGTTGGTCTGGT GTGCCCGGGCTTTACCAAGACGGATATCTTCCGCGACCAGAAGAACGAT GGTGGCAAGGGTCAGAAGGTGATCAACATGATCAGCACCGACTGCGAT CTGATGGTGAAGCTGATCATGTTCGGCATCGAGCACAAGCAAGCGCTGC AAATCCACGGCGTGGATGCCCACGCCATGAACATCTTCGGCAAACTGCT GCCAGTGAACGGCAGCCGTCTGTTCAGTGCCGTTATGAAAGCCGCGGA CATCGATCTGTTCAGTGAGGTGTTCAAGGACTGAGATCCGGCTGCTAAC AAAGCCCG (SEQ ID NO: 67)

TABLE 7B Mutagenesis of N-HIS tagged ECOP170 in pET28 vector S139A_ECOP170 F CGGCTATCATCAATAT E. coprostanoligenes Paired with TGACTCAGCTGCTGCT Muta2_R CTT (SEQ ID NO: 68) S138A_ECOP170 F CGGCTATCATCAATAT E. coprostanoligenes Paired with TGACGCATCTGCTGCT Muta2_R CTT (SEQ ID NO: 69) Muta2_R R GTCAATATTGATGATA E. coprostanoligenes GCCGGTGTGCTTGACT GAA (SEQ ID NO: 70) Y160A_ECOP170 F CACTTGCAGGCACATC E. coprostanoligenes Paired with AATGGCCTCTGCATCA Muta1_R AAGGCTGCACTTA (SEQ ID NO: 71) S163A_ECOP170 F CACTTGCAGGCACATC E. coprostanoligenes Paired with AATGTACTCTGCAGCA Muta1_R AAGGCTGCACTTA (SEQ ID NO: 72) S161A_ECOP170 F CACTTGCAGGCACATC E. coprostanoligenes Paired with AATGTACGCTGCATCA Muta1_R AAGGCTGCACTTA (SEQ ID NO: 73) K164A_ECOP170 F CACTTGCAGGCACATC E. coprostanoligenes Paired with AATGTACTCTGCATCA Muta1_R GCGGCTGCACTTA (SEQ ID NO: 74) A162S_ECOP170 F CACTTGCAGGCACATC E. coprostanoligenes Paired with AATGTACTCTTCATCA Muta1_R AAGGCTGCACTTA (SEQ ID NO: 75) Muta1_R R CATTGATGTGCCTGCA E. coprostanoligenes AGTGTCATAAGAGCAG CAGATGAGTC (SEQ ID NO: 76)

TABLE 8 Protein sequences identifiers from the combined assembly that share at least 20% AA identity to ECOP170. >ERR2017606_k103_18959_5 >ERR2017468_k103_6496_2 >G72705_k105_69611_3 >G139994_k105_31550_2 (SEQ ID NO: 77) (SEQ ID NO: 78) (SEQ ID NO: 79) (SEQ ID NO: 80) >HSM5MD66_R_k105_22541_1 >CSM5MCUK_P_R_k105_ >ERR2017689_k103_58946_1 >G88909_k105_18215_34 30732_4 (SEQ ID NO: 81) (SEQ ID NO: 82) (SEQ ID NO: 83) (SEQ ID NO: 84) >G72698_k105_10065_41 >MSM6J2LL_R_k105_35771_10 >ERR2017736_k103_29211_2 >ERR2017681_k103_2642_3 (SEQ ID NO: 85) (SEQ ID NO: 86) (SEQ ID NO: 87) (SEQ ID NO: 88) >G139962_k105_59841_2 >G141067_k105_5153_2 >G48820_k105_8566_54 >ERR2017685_k103_54893_9 (SEQ ID NO: 89) (SEQ ID NO: 90) (SEQ ID NO: 91) I (SEQ ID NO: 92) >G140887_k105_44653_5 >HSMA33KQ_R_k105_3667_2 >ERR2017614_k103_90584_2 >ERR2017719_k103_84431_2 (SEQ ID NO: 93) (SEQ ID NO: 94) (SEQ ID NO: 95) (SEQ ID NO: 96) >G89185_k105_33406_4 >CSM7KOLK_R_k105_38324_1 >ERR2017630_k103_4998_2 >ERR2017570_k103_37316_156 (SEQ ID NO: 97) (SEQ ID NO: 98) (SEQ ID NO: 99) (SEQ ID NO: 100) >G48817_k105_109935_2 >G140096_k105_16087_10 >ERR2017653_k103_21549_2 >G72694_k105_45049_13 (SEQ ID NO: 101) (SEQ ID NO: 102) (SEQ ID NO: 103) (SEQ ID NO: 104) >ERR2017703_k103_30121_38 >ERR2017458_k93_2794_2 >ERR2017631_k103_52150_12 >G48838_k105_115785_3 (SEQ ID NO: 105) (SEQ ID NO: 106) (SEQ ID NO: 107) (SEQ ID NO: 108) >G140139_k105_54286_26 >G72697_k105_88675_3 >ERR2017613_k103_17263_21 >G105056_k105_87698_2 (SEQ ID NO: 109) (SEQ ID NO: 110) (SEQ ID NO: 111) (SEQ ID NO: 112) >G140933_k105_12475_3 >G141131_k105_35049_9 >ERR2017589_k103_30004_2 >CSM5MCZ3_R_k105_2687_1 (SEQ ID NO: 113) (SEQ ID NO: 114) (SEQ ID NO: 115) (SEQ ID NO: 116) >G48812_k105_53130_1 >G140963_k105_66302_2 >ERR2017631_k103_43743_9 >ERR2017554_k103_7348_6 (SEQ ID NO: 117) (SEQ ID NO: 118) (SEQ ID NO: 119) (SEQ ID NO: 120) >G48802_k105_59965_8 >MSM5LLHG_P_R_k105_ >ERR2017631_k103_75292_2 >G36350_k105_31333_4 18354_11 (SEQ ID NO: 121) (SEQ ID NO: 122) (SEQ ID NO: 123) (SEQ ID NO: 124) >ERR2017529_k103_44554_37 >PSM7J17B_R_k105_1479_2 >ERR2017645_k103_53452_2 >G88745_k105_86553_4 SEQ ID NO: 125) (SEQ ID NO: 126) (SEQ ID NO: 127) (SEQ ID NO: 128) >G88780_k105_30102_8 >G140839_k105_35220_4 >ERR2017615_k103_17583_4 >ERR2017605_k103_28752_5 (SEQ ID NO: 129) (SEQ ID NO: 130) (SEQ ID NO: 131) (SEQ ID NO: 132) >MSM79HAJ_R_k105_37312_4 >G141014_k105_19866_163 >ERR2017621_k103_14029_2 >G140046_k105_9728_57 (SEQ ID NO: 133) (SEQ ID NO: 134) (SEQ ID NO: 135) (SEQ ID NO: 136) >ERR2017633_k103_35117_2 >ERR2017454_k93_11122_1 >G36370_k105_6682_2 >CSMACTZP_R_k105_7189_1 (SEQ ID NO: 137) (SEQ ID NO: 138) (SEQ ID NO: 139) (SEQ ID NO: 140) >G72675_k105_11974_26 >G36352_k105_53533_16 >G141051_k105_53943_5 >PSM7J1C4_R_k105_34594_4 (SEQ ID NO: 141) (SEQ ID NO: 142) (SEQ ID NO: 143) (SEQ ID NO: 144) >CSM7KORK_R_k105_41575_13 >PSM7J14L_R_k105_3549_5 >G36380_k105_43646_24 >ERR2017682_k103_22302_10 (SEQ ID NO: 145) (SEQ ID NO: 146) (SEQ ID NO: 147) (SEQ ID NO: 148) >HSM5MD53_R_k105_19189_16 >G141056_k105_82494_6 >ERR2017543_k103_26347_9 >G140946_k105_81243_2 (SEQ ID NO: 149) (SEQ ID NO: 150) (SEQ ID NO: 151) (SEQ ID NO: 152) >G48820_k105_13922_236 >ERR2017554_k103_14928_2 >ERR2017531_k103_73850_3 >G72674_k105_50410_2 (SEQ ID NO: 153) (SEQ ID NO: 154) (SEQ ID NO: 155) (SEQ ID NO: 156) >CSM79HOZ_R_k105_49806_2 >ERR2017577_k103_95564_183 >G140037_k105_35216_1 >ERR2017434_k93_59901_7 (SEQ ID NO: 157) (SEQ ID NO: 158) (SEQ ID NO: 159) (SEQ ID NO: 160) >ERR2017552_k103_40643_2 >G89065_k105_33512_7 >ERR2017674_k103_17580_2 >G48838_k105_85766_11 (SEQ ID NO: 161) (SEQ ID NO: 162) (SEQ ID NO: 163) (SEQ ID NO: 164) >G105117_k105_47490_2 >ERR2017627_k103_3363_35 >G72698_k105_10036_22 >G140064_k105_36251_3 (SEQ ID NO: 165) (SEQ ID NO: 166) (SEQ ID NO: 167) (SEQ ID NO: 168) >ERR2017652_k103_132156_1 >HSMA33KS_R_k105_5109_4 >ERR2017639_k103_21150_3 >G141074_k105_87157_4 (SEQ ID NO: 169) (SEQ ID NO: 170) (SEQ ID NO: 171) (SEQ ID NO: 172) >PSM7J19R_R_k105_20839_1 >G105079_k105_46371_3 >ERR2017676_k103_30005_3 >ERR2017530_k103_41367_4 (SEQ ID NO: 173) (SEQ ID NO: 174) (SEQ ID NO: 175) (SEQ ID NO: 176) >G105094_k105_75363_1 >ERR2017658_k103_28160_2 >MSM79HBR_R_k105_ >G140037_k105_108806_1 7392_191 (SEQ ID NO: 177) (SEQ ID NO: 178) (SEQ ID NO: 179) (SEQ ID NO: 180) >G141121_k105_45918_4 >G140964_k105_58498_9 >ERR2017638_k103_87961_2 >G104819_k105_57718_1 (SEQ ID NO: 181) (SEQ ID NO: 182) (SEQ ID NO: 183) (SEQ ID NO: 184) >G104876_k105_48921_2 >G140884_k105_48512_1 >ERR2017639_k103_30779_2 >ERR2017688_k103_79028_12 (SEQ ID NO: 185) (SEQ ID NO: 186) (SEQ ID NO: 187) (SEQ ID NO: 188) >ERR2017449_k93_76238_3 >ERR2017637_k103_34182_37 >G140812_k105_93116_3 >G141086_k105_13808_5 (SEQ ID NO: 189) (SEQ ID NO: 190) (SEQ ID NO: 191) (SEQ ID NO: 192) >G88971_k105_22187_3 >ERR2017482_k79_120774_45 >ERR2017643_k103_31501_2 >G140990_k105_23667_1 (SEQ ID NO: 193) (SEQ ID NO: 194) (SEQ ID NO: 195) (SEQ ID NO: 196) >G48783_k105_4609_58 >G140785_k105_4188_1 >G140194_k105_52711_1 >ERR2017568_k103_24746_3 (SEQ ID NO: 197) (SEQ ID NO: 198) (SEQ ID NO: 199) (SEQ ID NO: 200) >ERR2017546_k103_48458_17 >G141087_k105_37700_1 >ERR2017462_k103_105205_9 >G139981_k105_41444_2 (SEQ ID NO: 201) (SEQ ID NO: 202) (SEQ ID NO: 203) (SEQ ID NO: 204) >CSM7KOS7_R_k105_27908_15 >G139992_k105_44197_6 >ERR2017576_k103_55329_31 >ERR2017667_k103_86069_9 (SEQ ID NO: 205) (SEQ ID NO: 206) (SEQ ID NO: 207) (SEQ ID NO: 208) >ERR2017651_k103_23084_12 >ERR2017564_k103_39580_13 >ERR2017639_k103_11789_18 >ERR2017530_k103_89168_1 (SEQ ID NO: 209) (SEQ ID NO: 210) (SEQ ID NO: 211) (SEQ ID NO: 212) >ERR2017596_k103_15764_10 >ERR2017549_k103_72053_5 >ERR2017579_k103_39438_3 >G140100_k105_63976_4 (SEQ ID NO: 213) (SEQ ID NO: 214) (SEQ ID NO: 215) (SEQ ID NO: 216) >ERR2017519_k103_66316_3 >G140887_k105_14976_1 >ERR2017726_k103_56_15 >ERR2017604_k103_15448_7 (SEQ ID NO: 217) (SEQ ID NO: 218) (SEQ ID NO: 219) (SEQ ID NO: 220) >G48791_k105_153014_9 >G48798_k105_61937_1 >G72710_k105_2519_4 >G141047_k105_104615_3 (SEQ ID NO: 221) (SEQ ID NO: 222) (SEQ ID NO: 223) (SEQ ID NO: 224) >G105079_k105_29139_2 >PSM7J14L_R_k105_1274_57 >G141050_k105_12742_2 >G141111_k105_50887_3 (SEQ ID NO: 225) (SEQ ID NO: 226) (SEQ ID NO: 227) (SEQ ID NO: 228) >ERR2017674_k103_16236_43 >G88869_k105_4784_2 >G48807_k105_51508_2 >G72689_k105_14628_1 (SEQ ID NO: 229) (SEQ ID NO: 230) (SEQ ID NO: 231) (SEQ ID NO: 232) >G36355_k105_53467_2 >G36387_k105_944_1 >ERR2017650_k103_39143_6 >PSM7J161_R_k105_6805_14 (SEQ ID NO: 233) (SEQ ID NO: 234) (SEQ ID NO: 235) (SEQ ID NO: 236) >G140856_k105_85477_17 >G105092_k105_29528_1 >ERR2017700_k103_20170_20 >HSM7CYX8_R_k105_9231_1 (SEQ ID NO: 237) (SEQ ID NO: 238) (SEQ ID NO: 239) (SEQ ID NO: 240) >G140887_k105_41000_3 >G104871_k105_29408_2 >G72676_k105_40564_3 >G140878_k105_42061_6 (SEQ ID NO: 241) (SEQ ID NO: 242) (SEQ ID NO: 243) (SEQ ID NO: 244) >G140839_k105_38876_2 >G140996_k105_18907_1 >ERR2017598_k103_20101_4 >G36356_k105_13466_28 (SEQ ID NO: 245) (SEQ ID NO: 246) (SEQ ID NO: 247) (SEQ ID NO: 248) >G72708_k105_9332_30 >ERR2017592_k103_37689_4 >ERR2017631_k103_8485_8 >G140016_k105_3400_2 (SEQ ID NO: 249) (SEQ ID NO: 250) (SEQ ID NO: 251) (SEQ ID NO: 252) >ERR2017700_k103_958_15 >G72724_k105_78628_64 >G104908_k105_22979_1 >G139967_k105_11935_5 (SEQ ID NO: 253) (SEQ ID NO: 254) (SEQ ID NO: 255) (SEQ ID NO: 256) >CSM67UAA_R_k105_11802_63 >ERR2017575_k103_85655_2 >ERR2017715_k103_13231_3 >MSM79H81_R_k105_297_2 (SEQ ID NO: 257) (SEQ ID NO: 258) (SEQ ID NO: 259) (SEQ ID NO: 260) >G141011_k105_467_27 >ERR2017460_k93_16182_3 >G139998_k105_34320_1 >G89089_k105_38776_4 (SEQ ID NO: 261) (SEQ ID NO: 262) (SEQ ID NO: 263) (SEQ ID NO: 264) >G139957_k105_59731_160 >G48780_k105_3277_39 >G72731_k105_38163_7 >G72690_k105_124636_5 (SEQ ID NO: 265) (SEQ ID NO: 266) (SEQ ID NO: 267) (SEQ ID NO: 268) >G140845_k105_90412_3 >G88977_k105_29795_4 >G36361_k105_7437_2 >G88725_k105_49824_3 (SEQ ID NO: 269) (SEQ ID NO: 270) (SEQ ID NO: 271) (SEQ ID NO: 272) >G48822_k105_6243_3 >G141126_k105_22068_1 >G141001_k105_25796_34 >CSM79HN2_R_k105_79021_36 (SEQ ID NO: 273) (SEQ ID NO: 274) (SEQ ID NO: 275) (SEQ ID NO: 276) >ERR2017696_k103_26704_7 >ERR2017693_k103_2028_5 >G140766_k105_89589_11 >G105037_k105_8994_1 (SEQ ID NO: 277) (SEQ ID NO: 278) (SEQ ID NO: 279) (SEQ ID NO: 280) >G72694_k105_57124_26 >G140012_k105_92516_3 >G104898_k105_28751_2 >G105040_k105_71789_8 (SEQ ID NO: 281) (SEQ ID NO: 282) (SEQ ID NO: 283) (SEQ ID NO: 284) >G139982_k105_54160_2 >G140130_k105_2894_2 >G140853_k105_22848_7 >ERR2017729_k103_26930_17 (SEQ ID NO: 285) (SEQ ID NO: 286) (SEQ ID NO: 287) (SEQ ID NO: 288) >G140799_k105_74553_5 >G48820_k105_10791_11 >G48820_k105_6957_2 >HSM67VFX_P_R_k105_ 42292_1 (SEQ ID NO: 289) (SEQ ID NO: 290) (SEQ ID NO: 291) (SEQ ID NO: 292) >G48841_k105_1396_8 >G140117_k105_28751_140 >ERR2017579_k103_120694_3 >ERR2017491_k103_92668_8 (SEQ ID NO: 293) (SEQ ID NO: 294) (SEQ ID NO: 295) (SEQ ID NO: 296) >ERR2017617_k103_41720_5 >G140946_k105_73316_8 >ERR2017614_k103_125466_62 >ERR2017542_k103_45310_9 (SEQ ID NO: 297) (SEQ ID NO: 298) (SEQ ID NO: 299) (SEQ ID NO: 300) >G48817_k105_185451_55 >G48832_k105_14987_2 >ERR2017545_k103_66522_9 >G72709_k105_49303_2 (SEQ ID NO: 301) (SEQ ID NO: 302) (SEQ ID NO: 303) (SEQ ID NO: 304) >G140963_k105_3708_2 >ERR2017697_k103_1288_2 >G72716_k105_58865_1 >G48817_k105_2987_2 (SEQ ID NO: 305) (SEQ ID NO: 306) (SEQ ID NO: 307) (SEQ ID NO: 308) >ERR2017686_k103_5648_20 >G141049_k105_10944_7 >ERR2017621_k103_13678_2 >G48784_k105_9944_8 (SEQ ID NO: 309) (SEQ ID NO: 310) (SEQ ID NO: 311) (SEQ ID NO: 312) >CSM5MCXB_P_R_k105_12902_1 >G72705_k105_82220_6 >G36370_k105_15464_32 >G105114_k105_85635_12 (SEQ ID NO: 313) (SEQ ID NO: 314) (SEQ ID NO: 315) (SEQ ID NO: 316) >ERR2017587_k103_55676_25 >HSMA33KS_R_k105_9141_3 >G48820_k105_8920_170 >G140023_k105_7679_2 (SEQ ID NO: 317) (SEQ ID NO: 318) (SEQ ID NO: 319) (SEQ ID NO: 320) >G141040_k105_13163_2 >G140042_k105_13126_4 >ERR2017726_k103_17011_38 >G140771_k105_40685_1 (SEQ ID NO: 321) (SEQ ID NO: 322) (SEQ ID NO: 323) (SEQ ID NO: 324) >G36367_k105_2698_2 >ERR2017543_k103_52586_15 >G140174_k105_28629_4 >ERR2017729_k103_10463_4 (SEQ ID NO: 325) (SEQ ID NO: 326) (SEQ ID NO: 327) (SEQ ID NO: 328) >G36356_k105_43864_15 >ERR2017617_k103_19201_14 >ERR2017639_k103_25741_2 >ERR2017716_k103_2675_95 (SEQ ID NO: 329) (SEQ ID NO: 330) (SEQ ID NO: 331) (SEQ ID NO: 332) >G105090_k105_15529_94 >CSM5MCZD_R_k105_ >ERR2017631_k103_28158_10 >ERR2017579_k103_16935_19 14716_4 (SEQ ID NO: 333) (SEQ ID NO: 334) (SEQ ID NO: 335) (SEQ ID NO: 336) >G36387_k105_8183_4 >CSM67UAA_R_k105_7607_70 >G140867_k105_3347_4 >CSM5MCYS_R_k105_36307_2 (SEQ ID NO: 337) (SEQ ID NO: 338) (SEQ ID NO: 339) (SEQ ID NO: 340) >ERR2017581_k103_23882_1 >G140017_k105_63911_2 >ERR2017665_k103_38533_6 >G48814_k105_29432_3 (SEQ ID NO: 341) (SEQ ID NO: 342) (SEQ ID NO: 343) (SEQ ID NO: 344) >MSM9VZLN_R_k105_75483_2 >ERR2017641_k103_42292_126 >ESM5MEB7_R_k105_43306_5 >G48780_k105_45296_49 (SEQ ID NO: 345) (SEQ ID NO: 346) (SEQ ID NO: 347) (SEQ ID NO: 348) >G36385_k105_789_3 >ERR2017697_k103_62379_7 >ERR2017681_k103_28529_33 >G104851_k105_21388_32 (SEQ ID NO: 349) (SEQ ID NO: 350) (SEQ ID NO: 351) (SEQ ID NO: 352) >G139999_k105_27221_4 >G140088_k105_77842_12 >G141818_k105_41977_5 >ERR2017467_k103_57239_53 (SEQ ID NO: 353) (SEQ ID NO: 354) (SEQ ID NO: 355) (SEQ ID NO: 356) >G88934_k105_4632_1 >ERR2017674_k103_16808_6 >ERR2017519_k103_29366_2 >G140776_k105_27903_2 (SEQ ID NO: 357) (SEQ ID NO: 358) (SEQ ID NO: 359) (SEQ ID NO: 360) >G48840_k105_54194_2 >G141126_k105_78436_9 >G48812_k105_25551_2 >G88975_k105_91712_4 (SEQ ID NO: 361) (SEQ ID NO: 362) (SEQ ID NO: 363) (SEQ ID NO: 364) >G72726_k105_10981_53 >G140043_k105_39728_24 >ERR2017605_k103_21352_6 >G140753_k105_21915_5 (SEQ ID NO: 365) (SEQ ID NO: 366) (SEQ ID NO: 367) (SEQ ID NO: 368) >G88786_k105_57521_17 >ERR2017570_k103_50999_3 >G139992_k105_29244_74 >ERR2017519_k103_30088_1 (SEQ ID NO: 369) (SEQ ID NO: 370) (SEQ ID NO: 371) (SEQ ID NO: 372) >ERR2017732_k103_18278_4 >G48823_k105_79555_27 >G36371_k105_20134_2 >ERR2017649_k103_96852_2 (SEQ ID NO: 373) (SEQ ID NO: 374) (SEQ ID NO: 375) (SEQ ID NO: 376) >G48784_k105_81628_2 >G36396_k105_1379_3 >ERR2017645_k103_31037_6 >G140770_k105_36016_5 (SEQ ID NO: 377) (SEQ ID NO: 378) (SEQ ID NO: 379) (SEQ ID NO: 380) >ERR2017643_k103_29169_2 >ERR2017613_k103_23170_12 >HSM5MD4B_P_R_k105_ >G88744_k105_24353_3 11944_2 (SEQ ID NO: 381) (SEQ ID NO: 382) (SEQ ID NO: 383) (SEQ ID NO: 384) >ERR2017678_k103_13064_34 >G72705_k105_88413_9 >MSM9VZHF_R_k105_ >G48786_k105_9077_12 24116_10 (SEQ ID NO: 385) (SEQ ID NO: 386) (SEQ ID NO: 387) (SEQ ID NO: 388) >G48784_k105_52712_3 >CSM5MCV1_P_R_k105_ >HSM5MD53_R_k105_ >MSM79HBR_R_k105_15956_1 8313_1 11106_11 (SEQ ID NO: 389) (SEQ ID NO: 390) (SEQ ID NO: 391) (SEQ ID NO: 392) >G48780_k105_59164_29 >G72711_k105_8997_61 >G104914_k105_101352_13 >ERR2017634_k103_18448_9 (SEQ ID NO: 393) (SEQ ID NO: 394) (SEQ ID NO: 395) (SEQ ID NO: 396) >G140038_k105_8824_4 >G88951_k105_394_1 >ERR2017482_k79_94078_13 >CSM7KOS7_R_k105_38487_2 (SEQ ID NO: 397) (SEQ ID NO: 398) (SEQ ID NO: 399) (SEQ ID NO: 400) >ERR2017725_k103_33716_23 >G36363_k105_7228_13 >ERR2017466_k103_22863_3 >ERR2017637_k103_58392_1 (SEQ ID NO: 401) (SEQ ID NO: 402) (SEQ ID NO: 403) (SEQ ID NO: 404) >G89094_k105_2233_3 >ERR2017647_k103_35937_27 >G88903_k105_28222_11 >G105057_k105_67836_12 (SEQ ID NO: 405) (SEQ ID NO: 406) (SEQ ID NO: 407) (SEQ ID NO: 408) >G89181_k105_10605_13 >PSM7J14L_R_k10_788_2 >G104948_k105_50358_2 >ERR2017521_k103_127408_11 (SEQ ID NO: 409) (SEQ ID NO: 410) (SEQ ID NO: 411) (SEQ ID NO: 412) >G140176_k105_5182_9 >G48804_k105_10132_2 >G48821_k105_905_64 >G140796_k105_16048_2 (SEQ ID NO: 413) (SEQ ID NO: 414) (SEQ ID NO: 415) (SEQ ID NO: 416) >HSM5MD6M_R_k105_982_5 >ERR2017637_k103_26213_3 >G48806_k105_17989_2 >G105030_k105_45566_1 (SEQ ID NO: 417) (SEQ ID NO: 418) (SEQ ID NO: 419) (SEQ ID NO: 420) >G140157_k105_13446_55 >G89065_k105_45479_46 >ERR2017646_k103_86310_2 >ERR2017619_k103_28417_9 (SEQ ID NO: 421) (SEQ ID NO: 422) (SEQ ID NO: 423) (SEQ ID NO: 424) >ERR2017655_k103_67238_7 >G48836_k105_4249_254 >PSMA2668_R_k105_15422_6 >ERR2017686_k103_15973_13 (SEQ ID NO: 425) (SEQ ID NO: 426) (SEQ ID NO: 427) (SEQ ID NO: 428) >ERR2017515_k79_109830_2 >ERR2017461_k103_26273_2 >G140884_k105_31816_4 >G105031_k105_28514_2 (SEQ ID NO: 429) (SEQ ID NO: 430) (SEQ ID NO: 431) (SEQ ID NO: 432) >ERR2017598_k103_131885_26 >G48812_k105_95414_5 >ERR2017631_k103_9179_2 >G141037_k105_61614_10 (SEQ ID NO: 433) (SEQ ID NO: 434) (SEQ ID NO: 435) (SEQ ID NO: 436) >G139971_k105_23554_2 >G48806_k105_15212_1 >ERR2017646_k103_40362_2 >ERR2017714_k103_34019_6 (SEQ ID NO: 437) (SEQ ID NO: 438) (SEQ ID NO: 439) (SEQ ID NO: 440) >G48791_k105_70309_15 >ERR2017659_k103_28782_2 >G141111_k105_5045_1 >ERR2017634_k103_26420_71 (SEQ ID NO: 441) (SEQ ID NO: 442) (SEQ ID NO: 443) (SEQ ID NO: 444) >ERR2017579_k103_124057_15 >ERR2017688_k103_105652_4 >G140138_k105_1098_1 >ERR2017546_k103_13609_34 (SEQ ID NO: 445) (SEQ ID NO: 446) (SEQ ID NO: 447) (SEQ ID NO: 448) >G141120_k105_23294_2 >HSMA33KS_R_k105_ >ERR2017698_k103_49777_6 >HSM6XRQB_P_R_k105_ 43252_2 41921_5 (SEQ ID NO: 449) (SEQ ID NO: 450) (SEQ ID NO: 451) (SEQ ID NO: 452) >G89065_k105_134985_11 >G139991_k105_65923_20 >G36347_k10_4358_97 >ERR2017630_k103_27421_2 (SEQ ID NO: 453) (SEQ ID NO: 454) (SEQ ID NO: 455) (SEQ ID NO: 456) >G89074_k105_22024_1 >CSM5MCUC_P_R_k105_ >G140126_k105_56160_25 >ERR2017636_k103_14328_5 28589_3 (SEQ ID NO: 457) (SEQ ID NO: 458) (SEQ ID NO: 459) (SEQ ID NO: 460) >ERR2017462_k103_45511_1 >CSM67UEI_R_k105_6374_31 >G8906_k105_44762_8 >G104817_k105_46932_2 (SEQ ID NO: 461) (SEQ ID NO: 462) (SEQ ID NO: 463) (SEQ ID NO: 464) >G89019_k105_14772_6 >G36392_k105_20560_5 >ERR2017627_k103_5191_9 >ERR2017627_k103_567_1 (SEQ ID NO: 465) (SEQ ID NO: 466) (SEQ ID NO: 467) (SEQ ID NO: 468) >CSM79HGV_P_R_k105_38368_7 >G141060_k105_19626_5 >G140911_k105_458_16 >G89268_k105_36439_3 (SEQ ID NO: 469) (SEQ ID NO: 470) (SEQ ID NO: 471) (SEQ ID NO: 472) >G104980_k105_42184_2 >ERR2017696_k103_15968_7 >PSM7J1BP_R_k105_3311_3 >MSM79HC8_R_k105_52475_11 (SEQ ID NO: 473) (SEQ ID NO: 474) (SEQ ID NO: 475) (SEQ ID NO: 476) >G104929_k105_46920_10 >G140758_k105_38294_2 >ERR2017604_k103_9572_2 >G139969_k105_67207_2 (SEQ ID NO: 477) (SEQ ID NO: 478) (SEQ ID NO: 479) (SEQ ID NO: 480) >ERR2017540_k103_8816_2 >G36347_k105_17334_2 >MSMAPC64_R_k105_30838_3 >ERR2017631_k103_46747_36 (SEQ ID NO: 481) (SEQ ID NO: 482) (SEQ ID NO: 483) (SEQ ID NO: 484) >ERR2017697_k103_52134_11 >G48817_k105_52454_2 >ERR2017637_k103_19638_30 >G140040_k105_32777_2 (SEQ ID NO: 485) (SEQ ID NO: 486) (SEQ ID NO: 487) (SEQ ID NO: 488) >G141016_k105_90141_1 >ERR2017581_k103_70168_14 >G36356_k105_57170_9 >ERR2017615_k103_36116_37 (SEQ ID NO: 489) (SEQ ID NO: 490) (SEQ ID NO: 491) (SEQ ID NO: 492) >G140954_k105_17301_3 >MSM79HBB_R_k105_ >CSM5MCWG_R_k105_ >ERR2017631_k103_741556 49201_3 9232_23 (SEQ ID NO: 493) (SEQ ID NO: 494) (SEQ ID NO: 495) (SEQ ID NO: 496) >G140994_k105_55384_2 >G48792_k105_47770_55 >HSM7J4JH_R_k105_5288_2 >G72714_k105_52650_12 (SEQ ID NO: 497) (SEQ ID NO: 498) (SEQ ID NO: 499) (SEQ ID NO: 500) >G48842_k105_5799_2 >MSM9VZNH_R_k105_ >PSMA2668_R_k105_22069_5 >ERR2017640_k103_57642_11 50637_2 (SEQ ID NO: 501) (SEQ ID NO: 502) (SEQ ID NO: 503) (SEQ ID NO: 504) >G48791_k105_197996_43 >CSM79HI7_R_k105_30053_2 >G140017_k105_53136_4 >ERR2017616_k103_92453_2 (SEQ ID NO: 505) (SEQ ID NO: 506) (SEQ ID NO: 507) (SEQ ID NO: 508) >G140785_k105_27068_4 >G140922_k105_25190_14 >G89182_k105_96582_12 >G140170_k105_34453_1 (SEQ ID NO: 509) (SEQ ID NO: 510) (SEQ ID NO: 511) L (SEQ ID NO: 512) >G48821_k105_15594_4 >G36359_k105_30659_14 >G48819_k105_3951_2 >ERR2017618_k103_99515_8 (SEQ ID NO: 513) (SEQ ID NO: 514) (SEQ ID NO: 515) I (SEQ ID NO: 516) >ERR2017611_k103_55710_1 >G36392_k105_26849_1 >MSM5LLEP_R_k105_14521_2 >ERR2017656_k103_73644_2 (SEQ ID NO: 517) (SEQ ID NO: 518) (SEQ ID NO: 519) (SEQ ID NO: 520) >G48791_k105_6352_2 >ERR2017623_k103_15392_9 >CSM5MCXN_R_k105_40367_5 >G72703_k105_93504_221 (SEQ ID NO: 521) (SEQ ID NO: 522) (SEQ ID NO: 5239) (SEQ ID NO: 524) >MSM9VZHB_R_k105_7308_3 >G48822_k105_3561_1 >G48814_k105_38059_3 >ERR2017499_k103_15424_9 (SEQ ID NO: 525) (SEQ ID NO: 526) (SEQ ID NO: 527) (SEQ ID NO: 528) >G48838_k105_78496_1 >G72682_k105_33380_1 >CSM7KOLY_R_k105_ >ERR2017570_k103_9731_2 23631_22 (SEQ ID NO: 529) (SEQ ID NO: 530) (SEQ ID NO: 531) (SEQ ID NO: 532) >G140808_k105_19783_1 >G88922_k105_28537_7 >ERR2017636_k103_1676_2 >CSM7KOS7_R_k105_32171_23 (SEQ ID NO: 533) (SEQ ID NO: 534) (SEQ ID NO: 535) (SEQ ID NO: 536) >CSM5MCYS_R_k105_6727_3 >ERR2017637_k103_71747_3 >ERR2017667_k103_23517_2 >G140880_k105_13384_3 (SEQ ID NO: 537) (SEQ ID NO: 538) (SEQ ID NO: 539) (SEQ ID NO: 540) >G72683_k105_9408_11 >ERR2017541_k103_42614_1 >CSM5MCWQ_R_k105_ >PSM7J1BP_R_k105_4738_2 13885_2 (SEQ ID NO: 541) (SEQ ID NO: 542) (SEQ ID NO: 543) (SEQ ID NO: 544) >G48798_k105_40920_33 >ERR2017696_k103_41202_3 >ERR2017614_k103_31226_117 >G140896_k105_63696_15 (SEQ ID NO: 545) (SEQ ID NO: 546) (SEQ ID NO: 547) (SEQ ID NO: 548) >G104998_k105_7853_4 >G48826_k105_19931_2 >G139981_k105_50127_24 >G140123_k105_94472_13 (SEQ ID NO: 549) (SEQ ID NO: 550) (SEQ ID NO: 551) (SEQ ID NO: 552) >G36355_k105_45725_3 >ERR2017679_k103_31271_57 >G140880_k105_25835_2 >G72703_k105_73123_2 (SEQ ID NO: 553) (SEQ ID NO: 554) (SEQ ID NO: 555) (SEQ ID NO: 556) >MSM5LLF6_R_k105_38794_2 >HSM5MD8J_PR_k105_ >G140133_k105_11020_2 >G140898_k105_71565_3 28407_2 (SEQ ID NO: 557) (SEQ ID NO: 558) (SEQ ID NO: 559) (SEQ ID NO: 560) >G104926_k105_4769_3 >ERR2017447_k93_44449_16 >G141086_k105_32575_2 >ERR2017569_k103_32123_1 (SEQ ID NO: 561) (SEQ ID NO: 562) (SEQ ID NO: 563) (SEQ ID NO: 564) >G140202_k105_54624_7 >ERR2017692_k103_55436_2 >G104923_k105_10415_2 >ERR2017495_k79_53186_2 (SEQ ID NO: 565) (SEQ ID NO: 566) (SEQ ID NO: 567) (SEQ ID NO: 568) >G139953_k105_6325_8 >CSM79HNI_R_k105_32627_11 >ERR2017447_k93_35502_8 >HSM5MD7Q_R_k105_12755_5 (SEQ ID NO: 569) (SEQ ID NO: 570) (SEQ ID NO: 571) (SEQ ID NO: 572) >G88790_k105_50573_1 >G48831_k105_96700_28 >G140786_k105_12264_2 >G48784_k105_134757_2 (SEQ ID NO: 573) (SEQ ID NO: 574) (SEQ ID NO: 575) (SEQ ID NO: 576) >G48819_k105_8488_13 >ERR2017669_k103_1204_14 >ERR2017519_k103_10728_7 >ERR2017616_k103_40933_3 (SEQ ID NO: 577) (SEQ ID NO: 578) (SEQ ID NO: 579) (SEQ ID NO: 580) >G89005_k105_31711_1 >G140158_k105_24836_2 >G48795_k105_40107_2 >G140896_k105_60581_1 (SEQ ID NO: 581) (SEQ ID NO: 582) (SEQ ID NO: 583) (SEQ ID NO: 584) >MSM9VZOK_R_k105_36925_1 >G48836_k105_297_13 >ERR2017650_k103_32187_1 >MSM5LLE3_P_R_k105_ 19190_12 (SEQ ID NO: 585) (SEQ ID NO: 586) (SEQ ID NO: 587) (SEQ ID NO: 588) >HSM67VEO_R_k105_8042_1 >ERR2017613_k103_45054_1 >G140880_k105_29002_6 >ERR2017569_k103_106426_68 (SEQ ID NO: 589) (SEQ ID NO: 590) (SEQ ID NO: 591) (SEQ ID NO: 592) >G140022_k105_20980_2 >G48806_k105_6571_16 >ERR2017523_k103_54949_7 >G140758_k105_498_2 (SEQ ID NO: 5939) (SEQ ID NO: 594) (SEQ ID NO: 595) (SEQ ID NO: 596) >G72720_k105_63499_8 >ERR2017720_k103_27620_3 >G89027_k105_33505_17 >ERR2017560_k103_25520_13 (SEQ ID NO: 597) (SEQ ID NO: 598) (SEQ ID NO: 599) (SEQ ID NO: 600) >ERR2017729_k103_69352_9 >HSM67VFX_P_R_k105_ >MSM9VZMC_R_k105_1759_2 >G140078_k105_32068_1 27767_1 (SEQ ID NO: 601) (SEQ ID NO: 602) (SEQ ID NO: 603) (SEQ ID NO: 604) >CSM67UAA_R_k105_7303_317 >G105060_k105_55730_7 >G140944_k105_16781_2 >G89058_k105_67579_2 (SEQ ID NO: 605) (SEQ ID NO: 606) (SEQ ID NO: 607) (SEQ ID NO: 608) >ERR2017649_k103_38406_4 >G140929_k105_26270_2 >G141012_k105_1567_3 >ERR2017603_k103_31149_3 (SEQ ID NO: 609) (SEQ ID NO: 610) (SEQ ID NO: 611) (SEQ ID NO: 612) >G140183_k105_49941_12 >ERR2017571_k103_23286_5 >MSM79HBR_R_k105_ >ERR2017653_k103_72195_2 20818_96 (SEQ ID NO: 613) (SEQ ID NO: 614) (SEQ ID NO: 615) (SEQ ID NO: 616) >ERR2017635_k103_44512_154 >G72701_k105_48495_35 >G141819_k105_10609_4 >ERR2017645_k103_27071_3 (SEQ ID NO: 617) (SEQ ID NO: 618) (SEQ ID NO: 619) (SEQ ID NO: 620) >G139962_k105_44646_2 >G140922_k105_40896_2 >G140812_k105_74353_12 >ERR2017639_k103_20019_5 (SEQ ID NO: 621) (SEQ ID NO: 622) (SEQ ID NO: 623) (SEQ ID NO: 624) >MSM79H9K_R_k105_2566_3 >G48806_k105_25902_4 >G36392_k105_47848_68 >G48817_k105_42413_2 (SEQ ID NO: 625) (SEQ ID NO: 626) (SEQ ID NO: 627) (SEQ ID NO: 628) >G88707_k105_86775_1 >PSM7J14L_R_k105_3955_127 >G48806_k105_19999_2 >ERR2017430_k93_8771_2 (SEQ ID NO: 629) (SEQ ID NO: 630) (SEQ ID NO: 631) (SEQ ID NO: 632) >MSM9VZMM_R_k105_17369_15 >ERR2017569_k103_125456_9 >G140202_k105_73433_3 >G48796_k105_110428_17 (SEQ ID NO: 633) (SEQ ID NO: 634) (SEQ ID NO: 635) (SEQ ID NO: 636) >ERR2017673_k103_108417_7 >PSM7J14L_R_k105_704_4 >PSM7J1A2_R_k105_41830_4 >G72705_k105_13805_1 (SEQ ID NO: 637) (SEQ ID NO: 638) (SEQ ID NO: 639) (SEQ ID NO: 640) >ERR2017630_k103_46512_2 >ERR2017686_k103_70767_3 >G141001_k105_1032_16 >ERR2017631_k103_67330_2 (SEQ ID NO: 641) (SEQ ID NO: 642) (SEQ ID NO: 643) (SEQ ID NO: 644) >ERR2017465_k103_36271_2 >G72728_k105_18244_1 >ERR2017553_k103_17444_16 >G141077_k105_7789_2 (SEQ ID NO: 645) (SEQ ID NO: 646) (SEQ ID NO: 647) (SEQ ID NO: 648) >G141014_k105_89139_1 >ERR2017460_k93_53799_72 >G105108_k105_69257_2 >ERR2017675_k103_105871_2 (SEQ ID NO: 649) (SEQ ID NO: 650) (SEQ ID NO: 651) (SEQ ID NO: 652) >G141007_k105_20199_3 >ERR2017685_k103_22047_2 >G140819_k105_73793_3 >G104817_k105_7956_3 (SEQ ID NO: 653) (SEQ ID NO: 654) (SEQ ID NO: 655) (SEQ ID NO: 656) >G140899_k105_13945_6 >G105082_k105_68803_2 >ERR2017533_k103_21325_9 >ERR2017645_k103_8615_2 (SEQ ID NO: 657) (SEQ ID NO: 658) (SEQ ID NO: 659) (SEQ ID NO: 660) >G105095_k105_22590_1 >ERR2017411_k93_31527_52 >G48820_k105_10194_59 >ERR2017545_k103_30362_5 (SEQ ID NO: 661) (SEQ ID NO: 662) (SEQ ID NO: 663) (SEQ ID NO: 664) >ERR2017618_k103_58465_2 >G48784_k105_9215_6 >MSMA26DG_R_k105_19716_2 >ERR2017705_k103_32472_164 (SEQ ID NO: 665) (SEQ ID NO: 666) (SEQ ID NO: 667) (SEQ ID NO: 668) >G48815_k105_38100_1 >ERR2017686_k103_101137_91 >HSMA33IA_R_k105_28475_2 >G72704_k105_35507_2 (SEQ ID NO: 669) (SEQ ID NO: 670) (SEQ ID NO: 671) (SEQ ID NO: 672) >G88988_k105_31485_1 >ESM5MEB7_R_k105_42582_2 >ERR2017570_k103_24913_14 >ERR2017650_k103_100733_2 (SEQ ID NO: 673) (SEQ ID NO: 674) (SEQ ID NO: 675) (SEQ ID NO: 676) >G36365_k105_42273_10 >G140163_k105_13531_17 >ERR2017533_k103_82027_2 >G88801_k105_91964_2 (SEQ ID NO: 677) (SEQ ID NO: 678) (SEQ ID NO: 679) (SEQ ID NO: 680) >G140946_k105_95626_8 >G48780_k105_27701_9 >G105082_k105_52529_2 >G140969_k105_53042_4 (SEQ ID NO: 681) (SEQ ID NO: 682) (SEQ ID NO: 683) (SEQ ID NO: 684) >ERR2017551_k103_22818_20 >G140075_k105_10623_8 >HSM7J4MS_R_k105_13677_1 >G140815_k105_17357_1 (SEQ ID NO: 685) (SEQ ID NO: 686) (SEQ ID NO: 687) (SEQ ID NO: 688) >MSMA26AX_R_k105_23254_2 >CSM79HNK_R_k105_14655_2 >ERR2017522_k103_4715_2 >G88888_k105_15847_5 (SEQ ID NO: 689) (SEQ ID NO: 690) (SEQ ID NO: 691) (SEQ ID NO: 692) >G48798_k105_72677_20 >ERR2017470_k103_59428_1 >G104883_k105_8912_2 >G48777_k105_58599_4 (SEQ ID NO: 693) (SEQ ID NO: 694) (SEQ ID NO: 695) (SEQ ID NO: 696) >ERR2017529_k103_2513_47 >G48820_k105_10194_30 >ERR2017553_k103_35130_4 >ERR2017611_k103_21696_6 (SEQ ID NO: 697) (SEQ ID NO: 698) (SEQ ID NO: 699) (SEQ ID NO: 700) >CSM67UAA_R_k105_9341_98 >MSM5LLH2_P_R_k105_ >ERR2017704_k103_50742_18 >G72676_k105_18744_53 885_16 (SEQ ID NO: 701) (SEQ ID NO: 702) (SEQ ID NO: 703) (SEQ ID NO: 704) >G140974_k105_29066_3 >G140807_k105_54983_2 >G140795_k105_25218_3 >G48790_k105_232273_10 (SEQ ID NO: 705) (SEQ ID NO: 706) (SEQ ID NO: 707) (SEQ ID NO: 708) >G140170_k105_28494_3 >G88922_k105_31346_4 >G104829_k105_55725_2 >G140763_k105_42939_2 (SEQ ID NO: 709) (SEQ ID NO: 710) (SEQ ID NO: 711) (SEQ ID NO: 712) >G48839_k105_52798_10 >ERR2017434_k93_92272_8 >ERR2017707_k103_42217_5 >G140842_k105_75049_1 (SEQ ID NO: 713) (SEQ ID NO: 714) (SEQ ID NO: 715) (SEQ ID NO: 716) >G104951_k105_10284_2 >ERR2017692_k103_109873_2 >G88933_k105_34966_2 >MSM79HF5_R_k105_44724_1 (SEQ ID NO: 717) (SEQ ID NO: 718) (SEQ ID NO: 719) (SEQ ID NO: 720) >G48842_k105_53827_1 >G48842_k105_44309_2 >G140176_k105_10093_4 >ERR2017650_k103_99395_4 (SEQ ID NO: 721) (SEQ ID NO: 722) (SEQ ID NO: 723) (SEQ ID NO: 724) >G105055_k105_7528_7 >G48786_k105_13537_5 >G89162_k105_47625_2 >ERR2017652_k103_5201_2 (SEQ ID NO: 725) (SEQ ID NO: 726) (SEQ ID NO: 727) (SEQ ID NO: 728) >MSMAPC5Z_R_k105_34057_2 >G104932_k105_34100_1 >G105028_k105_17685_16 >ERR2017638_k103_24129_2 (SEQ ID NO: 729) (SEQ ID NO: 730) (SEQ ID NO: 731) (SEQ ID NO: 732) >CSM79HJS_R_k105_24378_2 >G104829_k105_19574_4 >HSM5MD57_P_R_k105_ >ERR2017705_k103_31391_15 32686_3 (SEQ ID NO: 733) (SEQ ID NO: 734) (SEQ ID NO: 735) (SEQ ID NO: 736) >G105000_k105_71576_26 >G48836_k105_6741_54 >G72724_k105_56209_57 >ERR2017682_k103_61144_2 (SEQ ID NO: 737) (SEQ ID NO: 738) (SEQ ID NO: 739) (SEQ ID NO: 740) >G36355_k105_53467_3 >ERR2017639_k103_56786_2 >G141016_k105_75496_1 >G104940_k105_62353_9 (SEQ ID NO: 741 (SEQ ID NO: 742) (SEQ ID NO: 743) (SEQ ID NO: 744) >ERR2017735_k103_48650_67 >ERR2017565_k103_75451_77 >G72673_k105_48013_51 >ERR2017645_k103_50783_2 (SEQ ID NO: 745) (SEQ ID NO: 746) (SEQ ID NO: 747) (SEQ ID NO: 748) >G48819_k105_13403_4 >HSM7J4NU_R_k105_ >G89136_k105_16579_1 >HSM7J4JH_R_k105_14118_58 60563_136 (SEQ ID NO: 749) (SEQ ID NO: 750) (SEQ ID NO: 751) (SEQ ID NO: 752) >ERR2017704_k103_76394_3 >PSM7J17B_R_k105_3018_2 >G88922_k105_60299_2 >G48796_k105_118317_45 (SEQ ID NO: 753) (SEQ ID NO: 754) (SEQ ID NO: 755) (SEQ ID NO: 756) >G48838_k105_70727_1 >G48842_k105_13133_55 >CSM79HHM_R_k105_472_19 >ERR2017653_k103_22656_6 (SEQ ID NO: 757) (SEQ ID NO: 758) (SEQ ID NO: 759) (SEQ ID NO: 760) >G105091_k105_21628_1 >G140062_k105_5474_4 >G141126_k105_108681_4 >G72710_k105_20611_6 (SEQ ID NO: 761) (SEQ ID NO: 762) (SEQ ID NO: 763) (SEQ ID NO: 764) >G48790_k105_239255_7 >ERR2017672_k103_70607_17 >G48802_k105_52165_1 >G88829_k105_87104_2 (SEQ ID NO: 765) (SEQ ID NO: 766) (SEQ ID NO: 767) (SEQ ID NO: 768) >G104878_k105_15631_6 >ERR2017542_k103_24755_5 >G105028_k105_26718_13 >G48806_k105_9468_219 (SEQ ID NO: 769) (SEQ ID NO: 770) (SEQ ID NO: 771) (SEQ ID NO: 772) >ERR2017455_k93_45055_30 >HSMA33KQ_R_k105_5162_3 >G140127_k105_18896_4 >G48814_k105_41735_16 (SEQ ID NO: 773) (SEQ ID NO: 774) (SEQ ID NO: 775) (SEQ ID NO: 776) >ERR2017487_k79_31161_2 >G72708_k105_31001_38 >G89108_k105_6460_20 >CSM79HOZ_R_k105_13353_3 (SEQ ID NO: 777) (SEQ ID NO: 778) (SEQ ID NO: 779) (SEQ ID NO: 780) >G105109_k105_59939_2 >G36349_k105_11369_2 >ERR2017460_k93_22387_19 >ERR2017615_k103_1926_2 (SEQ ID NO: 781) (SEQ ID NO: 782) (SEQ ID NO: 783) (SEQ ID NO: 784) >G139975_k105_13036_15 >ERR2017717_k103_52830_2 >G88838_k105_67115_10 >ERR2017438_k93_36824_5 (SEQ ID NO: 785) (SEQ ID NO: 786) (SEQ ID NO: 787) (SEQ ID NO: 788) >G48814_k105_11470_43 >G140845_k105_91673_1 >MSM5LLHG_P_R_k105_ >G104997_k105_6428_1 2772_35 (SEQ ID NO: 789) (SEQ ID NO: 790) (SEQ ID NO: 791) (SEQ ID NO: 792) >G140114_k105_36925_5 >G140906_k105_41161_5 >G140166_k105_29852_2 >G48842_k105_48485_10 (SEQ ID NO: 793) (SEQ ID NO: 794) (SEQ ID NO: 795) (SEQ ID NO: 796) >G140757_k105_15337_2 >G104872_k105_46453_1 >G140794_k105_47545_1 >ERR2017630_k103_14364_7 (SEQ ID NO: 797) (SEQ ID NO: 798) (SEQ ID NO: 799) (SEQ ID NO: 800) >G140035_k105_98244_2 >G104996_k105_64940_13 >G36350_k105_22840_9 >ERR2017590_k103_24140_5 (SEQ ID NO: 801) (SEQ ID NO: 802) (SEQ ID NO: 803) (SEQ ID NO: 804) >G104953_k105_31882_18 >G140198_k105_262_3 >ERR2017683_k103_72749_36 >ERR2017708_k103_76473_2 (SEQ ID NO: 805) (SEQ ID NO: 806) (SEQ ID NO: 807) (SEQ ID NO: 808) >G141006_k105_82582_13 >ERR2017576_k103_66017_3 >ERR2017626_k103_33873_3 >ERR2017659_k103_13861_17 (SEQ ID NO: 809) (SEQ ID NO: 810) (SEQ ID NO: 811) (SEQ ID NO: 812) >MSMA26BX_R_k105_8138_1 >ERR2017631_k103_13007_10 >G72690_k105_11219_11 >ERR2017665_k103_48093_11 (SEQ ID NO: 813) (SEQ ID NO: 814) (SEQ ID NO: 815) (SEQ ID NO: 816) >ERR2017586_k103_8649_6 >G48792_k105_106365_2 >MSM79HBR_R_k105_ >G48807_k105_120238_6 13912_60 (SEQ ID NO: 817) (SEQ ID NO: 818) (SEQ ID NO: 819) (SEQ ID NO: 820) >G89067_k105_38969_11 >G140965_k105_53271_3 >G48807_k105_71348_2 >ERR2017644_k103_53390_2 (SEQ ID NO: 821) (SEQ ID NO: 822) (SEQ ID NO: 823) (SEQ ID NO: 824) >G48792_k105_39954_4 >ERR2017560_k103_31723_132 >G140066_k105_33923_60 >ERR2017674_k103_2001_1 (SEQ ID NO: 825) (SEQ ID NO: 826) (SEQ ID NO: 827) (SEQ ID NO: 828) >G48784_k105_68315_28 >G36370_k105_2703_6 >G140760_k105_25722_5 >G89121_k105_44588_3 (SEQ ID NO: 829) (SEQ ID NO: 830) (SEQ ID NO: 831) (SEQ ID NO: 832) >CSM79HM7_R_k105_44927_1 >G48817_k105_153705_4 >ERR2017568_k103_15909_14 >G89274_k105_28687_1 (SEQ ID NO: 833) (SEQ ID NO: 834) (SEQ ID NO: 835) (SEQ ID NO: 836) >G89065_k105_45479_45 >G89114_k105_73923_2 >G140109_k105_79476_1 >G140202_k105_59108_3 (SEQ ID NO: 837) (SEQ ID NO: 838) (SEQ ID NO: 839) (SEQ ID NO: 840) >G104891_k105_9620_15 >MSMA26AZ_TR_R_k105_ >G72718_k105_111961_2 >ERR2017588_k103_108861_1 16815_2 (SEQ ID NO: 841) (SEQ ID NO: 842) (SEQ ID NO: 843) (SEQ ID NO: 844) >ERR2017611_k103_101768_2 >MSM6J2HT_R_k105_19441_2 >E5M718V8_R_k105_13178_2 >G88798_k105_24965_1 (SEQ ID NO: 845) (SEQ ID NO: 846) (SEQ ID NO: 847) (SEQ ID NO: 848) >ERR2017489_k79_67320_1 >HSM67VHJ_R_k105_27562_2 >G140130_k105_69611_44 >G48838_k105_75333_3 (SEQ ID NO: 849) (SEQ ID NO: 850) (SEQ ID NO: 851) (SEQ ID NO: 852) >ERR2017651_k103_27728_1 >G140004_k1054550_2 >G48819_k105_5295_33 >PSMA264W_R_k105_14772_1 (SEQ ID NO: 853) (SEQ ID NO: 854) (SEQ ID NO: 855) (SEQ ID NO: 856) >G140834_k105_17762_1 >ERR2017464_k103_2636_3 >G139962_k105_9708_29 >G105016_k105_27408_1 (SEQ ID NO: 857) (SEQ ID NO: 858) (SEQ ID NO: 859) (SEQ ID NO: 860) >G89268_k105_5906_8 >G88887_k105_2260_4 >G72697_k105_51499_3 >G48807_k105_85359_4 (SEQ ID NO: 861) (SEQ ID NO: 862) (SEQ ID NO: 863) (SEQ ID NO: 864) >ERR2017734_k103_25782_5 >ESM5ME9D_P_R_k105_ >G88847_k105_45228_2 >G140839_k105_60449_2 8239_28 (SEQ ID NO: 865) (SEQ ID NO: 866) (SEQ ID NO: 867) (SEQ ID NO: 868) >ERR2017674_k103_6521_19 >MSM79H98_R_k105_ >MSM5LLE3_P_R_k105_ >G140162_k105_65352_3 18235_68 35173_16 (SEQ ID NO: 869) (SEQ ID NO: 870) (SEQ ID NO: 871) (SEQ ID NO: 872) >MSM5ZOJY_P_R_k105_4664_23 >G36385_k105_717_61 >ERR2017565_k103_10031_68 >CSM67UAA_R_k105_3231_22 (SEQ ID NO: 873) (SEQ ID NO: 874) (SEQ ID NO: 875) (SEQ ID NO: 876) >G105099_k105_23001_18 >G88892_k105_8741_4 >G140856_k105_25451_6 >G140164_k105_54779_1 (SEQ ID NO: 877) (SEQ ID NO: 878) (SEQ ID NO: 879) (SEQ ID NO: 880) >MSM79HFY_R_k105_21547_2 >G48820_k105_13546_15 >G88838_k105_56902_7 >G88935_k105_37556_2 (SEQ ID NO: 881) (SEQ ID NO: 882) (SEQ ID NO: 883) (SEQ ID NO: 884) >PSM7J15Q_R_k105_1823_4 >G89089_k105_25643_13 >G88755_k105_74875_2 >G89098_k105_42465_2 (SEQ ID NO: 885) (SEQ ID NO: 886) (SEQ ID NO: 887) (SEQ ID NO: 888) >MSM5LLF4_R_k105_25657_4 >G48812_k105_41366_2 >G88903_k105_20096_2 >G48804_k105_2940_74 (SEQ ID NO: 889) (SEQ ID NO: 890) (SEQ ID NO: 891) (SEQ ID NO: 892) >G104860_k105_1317_1 >G48817_k105_56869_4 >ERR2017472_k79_29458_1 >G105000_k105_29605_5 (SEQ ID NO: 893) (SEQ ID NO: 894) (SEQ ID NO: 895) (SEQ ID NO: 896) >G48815_k105_10150_2 >ERR2017561_k103_51819_2 >G89146_k105_68058_13 >G48817_k105_85681_52 (SEQ ID NO: 897) (SEQ ID NO: 898) (SEQ ID NO: 899) (SEQ ID NO: 900) >G140839_k105_7117_2 >G88870_k105_83264_2 >G104923_k105_16556_4 >ERR2017696_k103_37858_5 (SEQ ID NO: 901) (SEQ ID NO: 902) (SEQ ID NO: 903) (SEQ ID NO: 904) >G104977_k105_77974_2 >ERR2017660_k103_41592_2 >G48791_k105_15153_2 >G48821_k105_7671_13 (SEQ ID NO: 905) (SEQ ID NO: 906) (SEQ ID NO: 907) (SEQ ID NO: 908) >ERR2017541_k103_60115_6 >ERR2017629_k103_66774_5 >ERR2017581_k103_89684_63 >ERR2017446_k93_11340_6 (SEQ ID NO: 909) (SEQ ID NO: 910) (SEQ ID NO: 911) (SEQ ID NO: 912) >MSM79H54_R_k105_50312_159 >G48804_k105_2722_2 >MSM79HBR_R_k105_14580_1 >ERR2017681_k103_69143_1 (SEQ ID NO: 913) (SEQ ID NO: 914) (SEQ ID NO: 915) (SEQ ID NO: 916) >ERR2017466_k103_20068_8 >G48791_k105_118790_2 >G104888_k105_56380_1 >CSM5FZ3V_P_R_k105_ 16476_5 (SEQ ID NO: 917) (SEQ ID NO: 918) (SEQ ID NO: 919) (SEQ ID NO: 920) >G104973_k105_47504_1 >ERR2017688_k103_30300_14 >G105094_k105_35102_3 >G140010_k105_57627_4 (SEQ ID NO: 921) (SEQ ID NO: 922) (SEQ ID NO: 923) (SEQ ID NO: 924) >ERR2017622_k103_28892_5 >ERR2017686_k103_43877_2 >G141125_k105_66799_2 >ERR2017605_k103_89465_4 (SEQ ID NO: 925) (SEQ ID NO: 926) (SEQ ID NO: 927) (SEQ ID NO: 928) >G140926_k105_10107_1 >G48790_k105_15375_2 >G140004_k105_20922_4 >G104984_k105_97839_1 (SEQ ID NO: 928) (SEQ ID NO: 930) (SEQ ID NO: 931) (SEQ ID NO: 932) >G141111_k105_1068_1 >ERR2017569_k103_24093_16 >G139996_k105_1146_3 >ERR2017546_k103_42352_1 (SEQ ID NO: 933) (SEQ ID NO: 934) (SEQ ID NO: 935) (SEQ ID NO: 936) >G140964_k105_42289_4 >CSM7KORK_R_k105_22529_2 >ERR2017586_k103_14953_3 >G104890_k105_26539_4 (SEQ ID NO: 937) (SEQ ID NO: 938) (SEQ ID NO: 939) (SEQ ID NO: 940) >ERR2017736_k103_35998_2 >G140079_k105_4434_2 >G141131_k105_100422_5 >ERR2017562_k103_55879_3 (SEQ ID NO: 941) (SEQ ID NO: 942) (SEQ ID NO: 943) (SEQ ID NO: 944) >ERR2017611_k103_90975_57 >HSM67VDP_R_k105_1954_2 >G140137_k105_61767_2 >ERR2017449_k93_58342_6 (SEQ ID NO: 945) (SEQ ID NO: 946) (SEQ ID NO: 947) (SEQ ID NO: 948) >G48790_k105_174727_16 >G141012_k105_35467_1 >MSM9VZIQ_R_k105_46797_3 >ERR2017559_k103_39112_104 (SEQ ID NO: 949) (SEQ ID NO: 950) (SEQ ID NO: 951) (SEQ ID NO: 952) >ERR2017555_k103_48286_16 >ERR2017536_k103_10069_2 >ERR2017459_k93_24389_1 >G72697_k105_57353_25 (SEQ ID NO: 953) (SEQ ID NO: 9540) (SEQ ID NO: 955) (SEQ ID NO: 956) >G140014_k105_73358_5 >ERR2017605_k103_112848_7 >G141033_k105_50684_2 >ERR2017503_k79_95428_2 (SEQ ID NO: 957) (SEQ ID NO: 958) (SEQ ID NO: 959) (SEQ ID NO: 960) >G48820_k105_10194_88 >MSM79HAJ_R_k105_43872_3 >G104902_k105_32791_3 >ERR2017556_k103_13482_18 (SEQ ID NO: 961) (SEQ ID NO: 962) (SEQ ID NO: 963) (SEQ ID NO: 964) >G36358_k105_12421_117 >MSM9VZLN_R_k105_ >G48787_k105_50245_77 >G140798_k105_91769_2 76387_12 (SEQ ID NO: 965) (SEQ ID NO: 966) (SEQ ID NO: 967) (SEQ ID NO: 968) >G140963_k105_17761_2 >G72679_k105_829224 >G72736_k105_15451_30 >G140103_k105_62665_68 (SEQ ID NO: 969) (SEQ ID NO: 970) (SEQ ID NO: 971) (SEQ ID NO: 972) >MSM5LLE3_P_R_k105_35315_1 >ERR2017615_k103_3682_23 >G140022_k105_33871_24 >ERR2017574_k103_62596_22 (SEQ ID NO: 973) (SEQ ID NO: 974) (SEQ ID NO: 975) (SEQ ID NO: 976) >G36392_k105_10697_2 >G72705_k105_28418_3 >G140189_k105_25030_2 >G104969_k105_61463_1 (SEQ ID NO: 977) (SEQ ID NO: 978) (SEQ ID NO: 979) (SEQ ID NO: 980) >G104824_k105_28491_2 >ERR2017627_k103_4486_8 >PSM7J12V_R_k105_11226_13 >ERR2017671_k103_28810_2 (SEQ ID NO: 981) (SEQ ID NO: 982) (SEQ ID NO: 983) (SEQ ID NO: 984) >ERR2017692_k103_50246_1 >G48838_k105_62400_3 >G89024_k105_70708_2 >ERR2017647_k103_66279_2 (SEQ ID NO: 985) (SEQ ID NO: 986) (SEQ ID NO: 987) (SEQ ID NO: 988) >G36362_k105_86628_2 >G72711_k105_5691_12 >CSM79HGZ_R_k105_17914_6 >G88922_k105_5121_33 (SEQ ID NO: 989) (SEQ ID NO: 990) (SEQ ID NO: 991) (SEQ ID NO: 992) >ERR2017664_k103_46392_10 >G140849_k105_11260_1 >G72706_k105_48929_6 >G89256_k105_54395_10 (SEQ ID NO: 993) (SEQ ID NO: 994) (SEQ ID NO: 995) (SEQ ID NO: 996) >G48792_k105_104872_5 >G48804_k105_7820_2 >ERR2017543_k103_42400_53 >G141022_k105_9452_2 (SEQ ID NO: 997) (SEQ ID NO: 998) (SEQ ID NO: 999) (SEQ ID NO: 1000) >G139981_k105_7602_2 >G140978_k105_63578_1 >G141072_k105_3486_5 >ERR2017551_k103_58834_2 (SEQ ID NO: 1001) (SEQ ID NO: 1002) (SEQ ID NO: 1003) (SEQ ID NO: 1004) >G36386_k105_33690_2 >G141071_k105_26898_3 >G48786_k105_293_9 >ERR2017547_k103_31831_32 MCVYLASQRSSYVHGVTINVAGGKTRG (SEQ ID NO: 1006) (SEQ ID NO: 1007) (SEQ ID NO: 1008) (SEQ ID NO: 1005) >MSM5FZA2_P_R_k105_41796_2 >G141119_k1055509_2 >G140872_k105_23093_4 >ERR2017586_k103_34313_1 (SEQ ID NO: 1009) (SEQ ID NO: 1010) (SEQ ID NO: 1011) (SEQ ID NO: 1012) >G88922_k105_31372_2 >G48791_k105_121636_5 >G88990_k105_18624_3 >MSM5LLF2_P_R_k105_ 7521_1 (SEQ ID NO: 1013) (SEQ ID NO: 1014) (SEQ ID NO: 1015) (SEQ ID NO: 1016) >ERR2017713_k103_3738_16 >G48812_k105_43678_116 >G140884_k105_50467_11 >G104823_k105_6038_3 (SEQ ID NO: 1017) (SEQ ID NO: 1018) (SEQ ID NO: 1019) (SEQ ID NO: 1020) >G72679_k105_14370_2 >MSM6J2MB_R_k105_1120_15 >MSM79H94_P_R_k105_ >ERR2017589_k103_23068_7 23487_3 (SEQ ID NO: 1021) (SEQ ID NO: 1022) (SEQ ID NO: 1023) (SEQ ID NO: 1024) >CSM67UFZ_R_k105_15295_1 >G140940_k105_2539_6 >ERR2017512_k79_51552_17 >ERR2017579_k103_7547_7 (SEQ ID NO: 1025) (SEQ ID NO: 1026) (SEQ ID NO: 1027) (SEQ ID NO: 1028) >G105040_k105_42142_63 >G104942_k105_86095_1 >ERR2017545_k103_41987_4 >ERR2017534_k103_93173_1 (SEQ ID NO: 1029) (SEQ ID NO: 1030) (SEQ ID NO: 1031) (SEQ ID NO: 1032) >G140077_k105_8391_2 >G104827_k105_55720_3 >ERR2017676_k103_73473_3 >G36369_k105_23328_1 (SEQ ID NO: 1033) (SEQ ID NO: 1034) (SEQ ID NO: 1035) (SEQ ID NO: 1036) >G72679_k105_23874_2 >G140928_k105_58936_9 >G140138_k105_50244_2 >ERR2017667_k103_16253_3 (SEQ ID NO: 1037) (SEQ ID NO: 1038) (SEQ ID NO: 1039) (SEQ ID NO: 1040) >ERR2017564_k103_99141_2 >G104973_k105_42961_8 >G105014_k105_14111_16 >G141104_k105_29546_8 (SEQ ID NO: 1041) (SEQ ID NO: 1042) (SEQ ID NO: 1043) (SEQ ID NO: 1044) >G48798_k105_49523_6 >ERR2017478_k79_27058_2 >G48831_k105_99278_1 >ERR2017659_k103_167409_2 (SEQ ID NO: 1045) (SEQ ID NO: 1046) (SEQ ID NO: 1047) (SEQ ID NO: 1048) >ERR2017735_k103_63910_58 >G140174_k105_28044_2 >G48832_k105_22286_20 >G88908_k105_27555_3 (SEQ ID NO: 1049) (SEQ ID NO: 1050) (SEQ ID NO: 1051) (SEQ ID NO: 1052) >G36363_k105_53538_29 >ERR2017733_k103_40423_1 >ERR2017614_k103_87945_15 >ERR2017592_k103_16547_2 (SEQ ID NO: 1053) (SEQ ID NO: 1054) (SEQ ID NO: 1055) (SEQ ID NO: 1056) >MSMA26EJ_R_k105_4692_1 >ERR2017638_k103_20377_1 >ERR2017543_k103_47767_4 >G140853_k105_81403_12 (SEQ ID NO: 1057) (SEQ ID NO: 1058) (SEQ ID NO: 1059) (SEQ ID NO: 1060) >HSM7J4IQ_R_k105_33839_1 >G48815_k105_21006_2 >G48790_k105_1358_34 >MSM5LLIC_P_R_k105_ 75349_10 (SEQ ID NO: 1061) (SEQ ID NO: 1062) (SEQ ID NO: 1063) (SEQ ID NO: 1064) >G48791_k105_224813_2 >ERR2017537_k103_30143_5 >G140117_k105_32740_229 >G72678_k105_7293_14 (SEQ ID NO: 1065) (SEQ ID NO: 1066) (SEQ ID NO: 1067) (SEQ ID NO: 1068) >G48812_k105_28378_2 >ERR2017555_k103_75266_3 >G48836_k105_1332_16 >G140946_k105_11013_8 (SEQ ID NO: 1069) (SEQ ID NO: 1070) (SEQ ID NO: 1071) (SEQ ID NO: 1072) >MSM79H5E_R_k105_58710_2 >G141818_k105_36847_3 >G139962_k105_48290_10 >G104978_k105_15301_14 (SEQ ID NO: 1073) (SEQ ID NO: 1074) (SEQ ID NO: 1075) (SEQ ID NO: 1076) >HSMA33KQ_R_k105_11652_2 >G48836_k105_7323_22 >G48790_k105_233201_3 >G48807_k105_67367_2 (SEQ ID NO: 1077) (SEQ ID NO: 1078) (SEQ ID NO: 1079) (SEQ ID NO: 1080) >ERR2017467_k103_84641_2 >G48819_k105_14733_12 >G104950_k105_3862_20 >G140956_k105_75731_4 (SEQ ID NO: 1081) (SEQ ID NO: 1082) (SEQ ID NO: 1083) (SEQ ID NO: 1084) >G140761_k105_44585_1 >ERR2017715_k103_86158_4 >G104994_k105_63638_23 >CSMA9J65_R_k105_5457_4 (SEQ ID NO: 1085) (SEQ ID NO: 1086) (SEQ ID NO: 1087) (SEQ ID NO: 1088) >ERR2017460_k93_13963_1 >CSM79HPA_TR_R_k105_ >G140963_k105_7582_3 >G89274_k105_23131_2 18257_2 (SEQ ID NO: 1089) (SEQ ID NO: 1090) (SEQ ID NO: 1091) (SEQ ID NO: 1092) >G141000_k105_72969_1 >ERR2017675_k103_89501_3 >ERR2017541_k103_4721_8 >ERR2017438_k93_17261_2 (SEQ ID NO: 1093) (SEQ ID NO: 1094) (SEQ ID NO: 1095) (SEQ ID NO: 1096) >G105001_k105_20123_2 >G72737_k105_22406_2 >G140044_k105_50730_3 >G72710_k105_18110_6 (SEQ ID NO: 1097) (SEQ ID NO: 1098) (SEQ ID NO: 1099) (SEQ ID NO: 1100) >G48814_k105_22040_2 >ERR2017454_k93_45104_2 >G104871_k105_77635_8 >G48817_k105_98126_1 (SEQ ID NO: 1101) (SEQ ID NO: 1102) (SEQ ID NO: 1103) (SEQ ID NO: 1104) >G140002_k105_58409_2 >G104893_k105_24944_2 >ERR2017519_k103_59931_10 >G141093_k105_17600_1 (SEQ ID NO: 1105) (SEQ ID NO: 1106) (SEQ ID NO: 1107) (SEQ ID NO: 1108) >G140130_k105_69611_14 >G72696_k105_6532_37 >G140884_k105_11480_2 >G140084_k105_29452_1 (SEQ ID NO: 1109) (SEQ ID NO: 1110) (SEQ ID NO: 1111) (SEQ ID NO: 1112) >G140031_k105_81237_3 >G48832_k105_61986_2 >G140783_k105_11631_1 >G140839_k105_1033_1 (SEQ ID NO: 1113) (SEQ ID NO: 1114) (SEQ ID NO: 1115) (SEQ ID NO: 1116) >G141060_k105_8090_42 >ERR2017700_k103_67776_4 >G48780_k105_105879_11 >ERR2017450_k93_16033_43 (SEQ ID NO: 1117) (SEQ ID NO: 1118) (SEQ ID NO: 1119) (SEQ ID NO: 1120) >ERR2017736_k103_95772_1 >G88828_k105_42831_2 >G139954_k105_43288_2 >G48817_k105_9493_7 (SEQ ID NO: 1121) (SEQ ID NO: 1122) (SEQ ID NO: 1123) (SEQ ID NO: 1124) >ERR2017708_k103_82617_31 >G105000_k105_18211_2 >ERR2017627_k103_1345_17 >G48812_k105_74869_4 (SEQ ID NO: 1125) (SEQ ID NO: 1126) (SEQ ID NO: 1127) (SEQ ID NO: 1128) >G140026_k105_32005_1 >G139953_k105_17905_48 >G36389_k105_24519_21 >MSM6J2ML_R_k105_5326_1 (SEQ ID NO: 1129) (SEQ ID NO: 1130) (SEQ ID NO: 1131) (SEQ ID NO: 1132) >ERR2017590_k103_10699_4 >G140936_k105_10836_2 >G140796_k105_31673_3 >G140956_k105_4544_14 (SEQ ID NO: 1133) (SEQ ID NO: 1134) (SEQ ID NO: 1135) (SEQ ID NO: 1136) >G105021_k105_94587_3 >G72676_k105_8404_3 >G105106_k105_73799_3 >G48817_k105_184091_4 (SEQ ID NO: 1137) (SEQ ID NO: 1138) (SEQ ID NO: 1139) (SEQ ID NO: 1140) >ERR2017705_k103_70467_3 >G141092_k105_10981_4 >G141069_k105_58561_4 >G48790_k105_187226_3 (SEQ ID NO: 1141) (SEQ ID NO: 1142) (SEQ ID NO: 1143) (SEQ ID NO: 1144) >G140840_k105_36078_3 >ERR2017579_k103_111919_81 >G88707_k105_59840_1 >G140123_k105_19648_3 (SEQ ID NO: 1145) (SEQ ID NO: 1146) (SEQ ID NO: 1147) (SEQ ID NO: 1148) >ERR2017731_k103_25150_2 >PSM7J15A_R_k105_38110_2 >ERR2017697_k103_6305_6 >G140946_k105_5188_2 (SEQ ID NO: 1149) (SEQ ID NO: 1150) (SEQ ID NO: 1151) (SEQ ID NO: 1152) >MSMA2688_R_k105_44408_1 >ERR2017598_k103_14921_3 >G141033_k105_22846_2 >ERR2017541_k103_36965_3 (SEQ ID NO: 1153) (SEQ ID NO: 1154) (SEQ ID NO: 1155) (SEQ ID NO: 1156) >G140833_k105_44672_2 >G48812_k105_55617_2 >G48842_k105_22347_3 >ERR2017649_k103_23134_4 (SEQ ID NO: 1157) (SEQ ID NO: 1158) (SEQ ID NO: 1159) (SEQ ID NO: 1160) >ERR2017717_k103_24391_2 >HSM7J4NS_R_k105_64170_5 >G48792_k105_71109_5 >G72690_k105_43433_28 (SEQ ID NO: 1161) (SEQ ID NO: 1162) (SEQ ID NO: 1163) (SEQ ID NO: 1164) >ERR2017526_k103_44983_3 >G104933_k105_101346_1 >ERR2017713_k103_83105_6 >G48807_k105_78138_2 (SEQ ID NO: 1165) (SEQ ID NO: 1166) (SEQ ID NO: 1167) (SEQ ID NO: 1168) >ERR2017564_k103_25576_75 >ERR2017596_k103_13147_6 >G48832_k105_34466_21 >G48817_k105_96906_1 (SEQ ID NO: 1169) (SEQ ID NO: 1170) (SEQ ID NO: 1171) (SEQ ID NO: 1172) >G140844_k105_28329_2 >ERR2017570_k103_17133_10 >CSM79HHM_R_k105_36088_ >G36347_k105_21670_29 (SEQ ID NO: 1173) (SEQ ID NO: 1174) (SEQ ID NO: 1175) (SEQ ID NO: 1176) >HSM7J4MY_R_k105_26504_2 >MSM5FZ9N_P_R_k105_ >G48841_k105_34004_4 >G140954_k105_94671_2 31088_3 (SEQ ID NO: 1177) (SEQ ID NO: 1178) (SEQ ID NO: 1179) (SEQ ID NO: 1180) >G104865_k105_31582_3 >G140880_k105_14667_6 >G48790_k105_79570_10 >G105012_k105_23488_2 (SEQ ID NO: 1181) (SEQ ID NO: 1182) (SEQ ID NO: 1183) (SEQ ID NO: 1184) >PSMA265T_R_k105_40770_3 >ERR2017639_k103_46545_4 >G104950_k105_35992_3 >G48794_k105_122196_1 (SEQ ID NO: 1185) (SEQ ID NO: 1186) (SEQ ID NO: 1187) (SEQ ID NO: 1188) >G88693_k105_33027_5 >ERR2017637_k103_21547_28 >G48819_k105_15450_22 >G140771_k105_65449_1 (SEQ ID NO: 1189) (SEQ ID NO: 1190) (SEQ ID NO: 1191) (SEQ ID NO: 1192) >ERR2017666_k103_7267_44 >G141010_k105_32004_3 >G140127_k105_9689_199 >G36350_k105_2049_35 (SEQ ID NO: 1193) (SEQ ID NO: 1194) (SEQ ID NO: 1195) (SEQ ID NO: 1196) >G140062_k105_19280_1 >G140962_k105_35121_2 >G140847_k105_40774_49 >G48791_k105_90596_2 (SEQ ID NO: 1197) (SEQ ID NO: 1198) (SEQ ID NO: 1199) (SEQ ID NO: 1200) >PSM7J19T_R_k105_32534_2 >G141002_k105_9813_5 >G140862_k105_20065_4 >ERR2017660_k103_107940_2 (SEQ ID NO: 1201) (SEQ ID NO: 1202) (SEQ ID NO: 1203) (SEQ ID NO: 1204) >ERR2017731_k103_29660_2 >G88780_k105_47792_2 >G140835_k105_62319_2 >G72682_k105_65246_2 (SEQ ID NO: 1205) (SEQ ID NO: 1206) (SEQ ID NO: 1207) (SEQ ID NO: 1208) >ERR2017599_k103_65241_1 >ERR2017529_k103_7226_4 >G140117_k105_31657_47 >ERR2017646_k103_51209_2 (SEQ ID NO: 1209) (SEQ ID NO: 1210) (SEQ ID NO: 1211) (SEQ ID NO: 1212) >ERR2017663_k103_15658_4 >G141069_k105_86012_2 >CSM7KOON_R_k105_20482_2 >G139967_k105_51614_3 (SEQ ID NO: 1213) (SEQ ID NO: 1214) (SEQ ID NO: 1215) (SEQ ID NO: 1216) >ERR2017662_k103_17459_1 >ERR2017521_k103_95312_16 >ERR2017694_k103_130139_10 >G48792_k105_56706_8 (SEQ ID NO: 1217) (SEQ ID NO: 1218) (SEQ ID NO: 1219) (SEQ ID NO: 1220) >ERR2017605_k103_16380_2 >G48793_k105_78735_2 >ERR2017591_k103_44083_2 >G140117_k105_1273_36 (SEQ ID NO: 1221) (SEQ ID NO: 1222) (SEQ ID NO: 1223) (SEQ ID NO: 1224) >CSM67UB3_R_k105_36722_1 >MSM6J2JN_R_k105_26390_3 >G139955_k105_37242_1 >G48819_k105_16025_5 (SEQ ID NO: 1225) (SEQ ID NO: 1226) (SEQ ID NO: 1227) (SEQ ID NO: 1228) >G140911_k105_2500_6 >G35127_k105_167652 >ERR2017460_k93_8951_28 >G141105_k105_63598_2 (SEQ ID NO: 1229) (SEQ ID NO: 1230) (SEQ ID NO: 1231) (SEQ ID NO: 1232) >G72712_k105_9819_2 >HSM7CZ36_R_k105_4760_16 >ERR2017522_k103_75403_15 >HSM7CYYB_R_k105_1319_54 (SEQ ID NO: 1233) (SEQ ID NO: 1234) (SEQ ID NO: 1235) (SEQ ID NO: 1236) >G104819_k105_86833_7 >G48791_k105_86514_14 >G72728_k105_70582_21 >G48820_k105_6376_48 (SEQ ID NO: 1237) (SEQ ID NO: 1238) (SEQ ID NO: 1239) (SEQ ID NO: 1240) >G88971_k105_7855_2 >ERR2017631_k103_35716_2 >ERR2017513_k79_22366_16 >ERR2017631_k103_68539_5 (SEQ ID NO: 1241) (SEQ ID NO: 1242) (SEQ ID NO: 1243) (SEQ ID NO: 1244) >G140046_k105_7512_1 >G139999_k105_69212_4 >ERR2017554_k103_9322_8 >G48823_k105_22307_8 (SEQ ID NO: 1245) (SEQ ID NO: 1246) (SEQ ID NO: 1247) (SEQ ID NO: 1248) >G89252_k105_71026_2 >CSM79HH2_P_R_k105_ >ESM5MEE6_P_R_k105_ >ERR2017692_k103_64673_14 46311_2 12293_2 (SEQ ID NO: 1249) (SEQ ID NO: 1250) (SEQ ID NO: 1251) (SEQ ID NO: 1252) >G72679_k105_11881_23 >MSM5FZ9N_P_R_k105_ >ERR2017705_k103_118784_17 >PSMB4MBK_R_k105_12074_1 3455_2 (SEQ ID NO: 1253) (SEQ ID NO: 1254) (SEQ ID NO: 1255) (SEQ ID NO: 1256) >ERR2017581_k103_88831_2 >G140194_k105_2179_5 >G36374_k105_21299_5 >ERR2017604_k103_65881_13 (SEQ ID NO: 1257) (SEQ ID NO: 1258) (SEQ ID NO: 1259) (SEQ ID NO: 1260) >ERR2017468_k103_65700_23 >G36362_k105_56067_1 >ERR2017604_k103_27454_1 >ERR2017729_k103_147811_16 (SEQ ID NO: 1261) ((SEQ ID NO: 1262) (SEQ ID NO: 1263) (SEQ ID NO: 1264) >G89166_k105_51839_1 >PSM7J19Z_R_k105_8383_1 >ERR2017617_k103_31111_16 >G36363_k105_19601_23 (SEQ ID NO: 1265) (SEQ ID NO: 1266) (SEQ ID NO: 1267) (SEQ ID NO: 1268) >G48838_k105_87654_2 >G140042_k105_46414_12 >G140794_k105_14819_8 >ERR2017632_k103_97161_4 (SEQ ID NO: 1269) (SEQ ID NO: 1270) (SEQ ID NO: 1271) (SEQ ID NO: 1272) >G104848_k105_66284_59 >G104834_k105_65261_6 >G48790_k105_240741_28 >G36358_k105_61218_22 (SEQ ID NO: 1273) (SEQ ID NO: 1274) (SEQ ID NO: 1275) (SEQ ID NO: 1276) >G140918_k105_10126_15 >G140926_k105_36262_33 >ERR2017675_k103_63644_2 >G140114_k105_14395_1 (SEQ ID NO: 1277) (SEQ ID NO: 1278) (SEQ ID NO: 1279) (SEQ ID NO: 1280) >G139971_k105_108960_3 >G141011_k105_17791_2 >ERR2017699_k103_20019_15 >MSM5ZOJY_P_R_k105_ 33180_2 (SEQ ID NO: 1281) (SEQ ID NO: 1282) (SEQ ID NO: 1283) (SEQ ID NO: 1284) >G141820_k105_8524_11 >G72705_k105_28979_30 >G48806_k105_2407_249 >G48791_k105_10965_35 (SEQ ID NO: 1285) (SEQ ID NO: 1286) (SEQ ID NO: 1287) (SEQ ID NO: 1288) >ERR2017619_k103_60835_2 >G105000_k105_71576_21 >MSM6J2K6_R_k105_46998_1 >MSM9VZF7_R_k105_23695_1 (SEQ ID NO: 1289) (SEQ ID NO: 1290) (SEQ ID NO: 1291) (SEQ ID NO: 1292) >ERR2017715_k103_76704_238 >ERR2017519_k103_62300_2 >G104917_k105_57650_64 >G140964_k105_18777_11 (SEQ ID NO: 1293) (SEQ ID NO: 1294) (SEQ ID NO: 1295) (SEQ ID NO: 1296) >MSM6J2LL_R_k105_43260_4 >CSM79HHM_R_k105_ >HSMA33IE_R_k105_11891_7 >G48819_k105_13887_2 56064_17 (SEQ ID NO: 1297) (SEQ ID NO: 1298) (SEQ ID NO: 1299) (SEQ ID NO: 1300) >G141071_k105_30476_1 >ERR2017467_k103_104261_6 >ERR2017450_k93_49825_2 >CSM79HNI_R_k105_11987_6 (SEQ ID NO: 1301) (SEQ ID NO: 1302) (SEQ ID NO: 1303) (SEQ ID NO: 1304) >ERR2017462_k103_108422_2 >G48832_k105_113_4 >G48839_k105_14226_103 >ERR2017567_k103_35437_3 (SEQ ID NO: 1305) (SEQ ID NO: 1306) (SEQ ID NO: 1307) (SEQ ID NO: 1308) >MSM9VZHZ_R_k105_22248_2 >G88899_k105_40262_4 >G88896_k105_43136_7 >ERR2017675_k103_2518_13 (SEQ ID NO: 1309) (SEQ ID NO: 1310) L (SEQ ID NO: 1311) (SEQ ID NO: 1312) >G88861_k105_1699_3 >G88829_k105_5139_1 >G36375_k105_17903_5 >MSM9VZF7_R_k105_ 48462_235 (SEQ ID NO: 1313) (SEQ ID NO: 1314) (SEQ ID NO: 1315) (SEQ ID NO: 1316) >G140099_k105_49983_2 >G88910_k105_83216_3 >G140010_k105_23406_12 >ERR2017617_k103_22796_2 (SEQ ID NO: 1317) (SEQ ID NO: 1318) (SEQ ID NO: 1319) (SEQ ID NO: 1320) >PSM7J161_R_k105_6364_1 >ERR2017591_k103_14557_13 >G72718_k105_87329_2 >ERR2017467_k103_139125_2 (SEQ ID NO: 1321) (SEQ ID NO: 1322) (SEQ ID NO: 1323) (SEQ ID NO: 1324) >CSM67UAA_R_k105_7898_82 >HSM7CYY3_R_k105_7873_1 >G140108_k105_20181_6 >G140953_k105_120914_2 (SEQ ID NO: 1325) (SEQ ID NO: 1326) (SEQ ID NO: 1327) (SEQ ID NO: 1328) >G141115_k105_109409_10 >MSM9VZOS_R_k105_8640_5 >G72732_k105_65944_32 >G141013_k105_44163_3 (SEQ ID NO: 1329) L (SEQ ID NO: 1330) I (SEQ ID NO: 1331) (SEQ ID NO: 1332) >HSM5MD5B_R_k105_31299_2 >ERR2017574_k103_87688_6 >G140778_k105_22917_3 >G140842_k105_98923_2 (SEQ ID NO: 1333) (SEQ ID NO: 1334) (SEQ ID NO: 1335) (SEQ ID NO: 1336) >G104945_k105_16762_21 >ERR2017628_k103_39887_7 >ERR2017659_k103_111452_5 >ERR2017729_k103_96573_1 (SEQ ID NO: 1337) (SEQ ID NO: 1338) (SEQ ID NO: 1339) I (SEQ ID NO: 1340) >ERR2017592_k103_5824_6 >CSM67UAU_R_k105_ >G48819_k105_16762_2 >ERR2017658_k103_22266_4 11488_13 (SEQ ID NO: 1341) (SEQ ID NO: 1342) (SEQ ID NO: 1343) (SEQ ID NO: 1344) >ERR2017531_k103_7122_8 >G139958_k105_15426_1 >ERR2017576_k103_30046_58 >G140829_k105_29833_4 (SEQ ID NO: 1345) (SEQ ID NO: 1346) (SEQ ID NO: 1347) (SEQ ID NO: 1348) >ERR2017634_k103_114035_2 >CSM79HQB_R_k105_ >G48819_k105_8761_25 >G141817_k105_62304_2 43407_16 (SEQ ID NO: 1349) (SEQ ID NO: 1350) (SEQ ID NO: 1351) (SEQ ID NO: 1352) >G88960_k105_14418_90 >ERR2017540_k103_68543_4 >ERR2017574_k103_35057_3 >G48789_k105_149270_9 (SEQ ID NO: 1353) (SEQ ID NO: 1354) (SEQ ID NO: 1355) (SEQ ID NO: 1356) >G104895_k105_11498_1 >G104981_k105_100786_18 >G72705_k105_5088_76 >ERR2017665_k103_63019_2 (SEQ ID NO: 1357) (SEQ ID NO: 13580) (SEQ ID NO: 1359) (SEQ ID NO: 1360) >ERR2017541_k103_79773_14 >G104903_k105_38894_2 >G48795_k105_91713_4 >G140979_k105_3526_3 (SEQ ID NO: 1361) (SEQ ID NO: 1362) (SEQ ID NO: 1363) (SEQ ID NO: 1364) >G104973_k105_14346_2 >G105053_k105_605_1 >ERR2017465_k103_80995_19 >G72722_k105_58143_7 (SEQ ID NO: 1365) (SEQ ID NO: 1366) (SEQ ID NO: 1367) (SEQ ID NO: 1368) >ERR2017539_k103_8528_3 >G48790_k105_260684_12 >G104987_k105_47329_7 >G48841_k105_20232_2 (SEQ ID NO: 1369) (SEQ ID NO: 1370) (SEQ ID NO: 1371) (SEQ ID NO: 1372) >MSM79H6H_R_k105_62198_2 >ERR2017466_k103_51357_2 >ERR2017528_k103_38552_58 >G140004_k105_60738_19 (SEQ ID NO: 1373) (SEQ ID NO: 1374) (SEQ ID NO: 1375) (SEQ ID NO: 1376) >G141820_k105_1664_7 >G139991_k105_2956_3 >ERR2017593_k103_73404_2 >ERR2017676_k103_43858_84 (SEQ ID NO: 1377) (SEQ ID NO: 1378) (SEQ ID NO: 1379) (SEQ ID NO: 1380) >G36375_k105_12579_7 >ERR2017532_k103_ >G48832_k105_52527_47 >ERR2017592_k103_6902_21 111285_139 (SEQ ID NO: 1381) (SEQ ID NO: 1382) (SEQ ID NO: 1383) (SEQ ID NO: 1384) >ERR2017476_k79_78595_6 >ERR2017577_k103_34879_2 >CSM79HRC_R_k105_17222_4 >E5M718V8_R_k105_32821_1 (SEQ ID NO: 1385) (SEQ ID NO: 1386) (SEQ ID NO: 1387) (SEQ ID NO: 1388) >G140186_k105_34309_1 >G89268_k105_89716_3 >ERR2017596_k103_3269_7 >G139971_k105_38132_9 (SEQ ID NO: 1389) (SEQ ID NO: 1390) (SEQ ID NO: 1391) (SEQ ID NO: 1392) >G104818_k105_45893_2 >G72701_k105_74492_2 >CSM67U9H_P_R_k105_ >G141819_k105_44854_4 10905_3 (SEQ ID NO: 1393) (SEQ ID NO: 1394) (SEQ ID NO: 1395) (SEQ ID NO: 1396) >G140180_k105_17929_2 >G89190_k105_61505_2 >ERR2017529_k103_16686_2 >G48783_k105_11351_31 (SEQ ID NO: 1397) (SEQ ID NO: 1398) (SEQ ID NO: 1399) (SEQ ID NO: 1400) >G140847_k105_1511_130 >ERR2017618_k103_3529_14 >ERR2017569_k103_48771_95 >G141082_k105_46179_2 (SEQ ID NO: 1401) (SEQ ID NO: 1402) (SEQ ID NO: 1403) (SEQ ID NO: 1404) >G105093_k105_60548_9 >G140805_k105_73579_1 >G89273_k105_100810_11 >ERR2017729_k103_71253_23 (SEQ ID NO: 1405) (SEQ ID NO: 1406) (SEQ ID NO: 1407) (SEQ ID NO: 1408) >G140000_k105_61667_2 >PSM7J15Q_R_k105_5086_2 >MSM79HAL_R_k105_20354_2 >CSM5MCY8_R_k105_18625_2 (SEQ ID NO: 1409) (SEQ ID NO: 1410) (SEQ ID NO: 1411) (SEQ ID NO: 1412) >G141818_k105_30919_10 >ERR2017468_k103_8422_46 >G48790_k105_42687_3 >ERR2017541_k103_1333_35 (SEQ ID NO: 1413) (SEQ ID NO: 1414) (SEQ ID NO: 1415) (SEQ ID NO: 1416) >G48841_k105_34449_26 >G104824_k105_39681_1 >ERR2017682_k103_7936_49 >G141040_k105_86346_4 (SEQ ID NO: 1417) (SEQ ID NO: 1418) (SEQ ID NO: 1419) (SEQ ID NO: 1420) >G140027_k105_19655_2 >G140864_k105_25432_3 >G141101_k105_37692_2 >ERR2017573_k103_64762_4 (SEQ ID NO: 1421) (SEQ ID NO: 1422) (SEQ ID NO: 1423) (SEQ ID NO: 1424) >ERR2017678_k103_147_33 >G139991_k105_59268_1 >G36370_k105_8751_39 >G89054_k105_1721_14 (SEQ ID NO: 1425) (SEQ ID NO: 1426) (SEQ ID NO: 1427) (SEQ ID NO: 1428) >ERR2017532_k103_56479_6 >ERR2017589_k103_50590_2 >G48836_k105_2452_2 >G88935_k105_45458_3 (SEQ ID NO: 1429) (SEQ ID NO: 1430) (SEQ ID NO: 1431) (SEQ ID NO: 1432) >G104926_k105_37453_1 >HSM6XRS6_R_k105_1614_10 >ERR2017466_k103_10370_2 >ERR2017570_k103_12631_9 (SEQ ID NO: 1433) (SEQ ID NO: 1434) (SEQ ID NO: 1435) (SEQ ID NO: 1436) >G88882_k105_9670_1 >ERR2017639_k103_41282_3 >G48791_k105_172039_1 >G105065_k105_8237_9 (SEQ ID NO: 1437) (SEQ ID NO: 1438) (SEQ ID NO: 1439) (SEQ ID NO: 1440) >G140083_k105_31440_2 >ERR2017556_k103_84623_2 >G89146_k105_48867_8 >MSM79H87_R_k105_25507_1 (SEQ ID NO: 1441) (SEQ ID NO: 1442) (SEQ ID NO: 1443) (SEQ ID NO: 1444) >G48839_k105_64127_10 >G48812_k105_101265_1 >ERR2017593_k103_58240_8 >G141083_k105_30428_2 (SEQ ID NO: 1445) (SEQ ID NO: 1446) (SEQ ID NO: 1447) (SEQ ID NO: 1448) >G48821_k105_1104_134 >G72705_k105_67941_3 >G36369_k105_7468_41 >G141111_k105_77307_1 (SEQ ID NO: 1449) (SEQ ID NO: 1450) (SEQ ID NO: 1451) (SEQ ID NO: 1452) >ERR2017535_k103_25292_2 >G48798_k105_91248_2 >ERR2017728_k103_26137_2 >ERR2017636_k103_10295_101 (SEQ ID NO: 1453) (SEQ ID NO: 1454) (SEQ ID NO: 1455) (SEQ ID NO: 1456) >G139987_k105_11001_9 >G48793_k105_101096_2 >HSM7CYZF_R_k105_11181_2 >G36378_k105_21568_3 (SEQ ID NO: 1457) (SEQ ID NO: 1458) (SEQ ID NO: 1459) (SEQ ID NO: 1460) >ERR2017457_k93_25557_5 >ERR2017613_k103_25741_2 >G48792_k105_43316_2 >ERR2017667_k103_22283_2 (SEQ ID NO: 1461) (SEQ ID NO: 1462) (SEQ ID NO: 1463) (SEQ ID NO: 1464) >G104823_k105_64038_2 >HSM5MD6Q_R_k105_1102_42 >G36347_k105_4301_2 >G88845_k105_5494_1 (SEQ ID NO: 1465) (SEQ ID NO: 1466) (SEQ ID NO: 1467) (SEQ ID NO: 1468) >ERR2017430_k93_8706_1 >CSM79HNE_R_k105_6917_14 >G48789_k105_111433_27 >CSM79HNI_R_k105_14150_9 (SEQ ID NO: 1469) (SEQ ID NO: 1470) (SEQ ID NO: 1471) (SEQ ID NO: 1472) >HSM7J4QZ_R_k105_31837_2 >G140113_k105_46706_43 >G48817_k105_181825_6 >G105114_k105_10366_5 (SEQ ID NO: 1473) (SEQ ID NO: 1474) (SEQ ID NO: 1475) (SEQ ID NO: 1476) >G140106_k105_9553_2 >ERR2017564_k103_78038_2 >ERR2017659_k103_92981_6 >G141007_k105_3760_2 (SEQ ID NO: 1477) (SEQ ID NO: 1478) (SEQ ID NO: 1479) (SEQ ID NO: 1480) >MSM5LLGD_P_R_k105_10400_3 >MSM79H94_P_R_k105_ >ERR2017713_k103_86273_10 >G72685_k105_24728_3 2831_50 (SEQ ID NO: 1481) (SEQ ID NO: 1482) (SEQ ID NO: 1483) (SEQ ID NO: 1484) >MSM5LLE3_P_R_k105_3198_2 >G48812_k105_88827_4 >HSM7CYZ7_R_k105_6563_2 >G141075_k105_28565_37 (SEQ ID NO: 1485) (SEQ ID NO: 1486) (SEQ ID NO: 1487) (SEQ ID NO: 1488) >G105008_k105_101226_2 >G72697_k105_41131_2 >ERR2017553_k103_4307_36 >G48806_k105_24850_2 (SEQ ID NO: 1489) (SEQ ID NO: 1490) (SEQ ID NO: 1491) (SEQ ID NO: 1492) >ERR2017629_k103_21994_3 >G140984_k105_43097_4 >G36350_k105_10034_25 >MSM79H81_R_k105_31273_4 (SEQ ID NO: 1493) (SEQ ID NO: 1494) (SEQ ID NO: 1495) (SEQ ID NO: 1496) >G72733_k105_12944_3 >ERR2017519_k103_1064_28 >G72703_k105_26569_3 >ERR2017674_k103_7838_14 (SEQ ID NO: 1497) (SEQ ID NO: 1498) (SEQ ID NO: 1499) (SEQ ID NO: 1500) >G48823_k105_101998_3 >G48817_k105_18221_3 >G48821_k105_25306_6 >ERR2017662_k103_81106_1 (SEQ ID NO: 1501) (SEQ ID NO: 1502) (SEQ ID NO: 1503) (SEQ ID NO: 1504) >G48821_k105_1926_9 >G104923_k105_5159_1 >G104932_k105_62636_3 >ERR2017620_k103_12629_42 (SEQ ID NO: 1505) (SEQ ID NO: 1506) (SEQ ID NO: 1507) (SEQ ID NO: 1508) >G105029_k105_62044_2 >ERR2017608_k103_2280_29 >G88977_k105_52915_6 >ERR2017611_k103_38262_22 (SEQ ID NO: 1509) (SEQ ID NO: 1510) (SEQ ID NO: 1511) (SEQ ID NO: 1512) >ERR2017608_k103_30901_2 >G140884_k105_38182_27 >G140812_k105_24526_16 >ERR2017631_k103_380_1 (SEQ ID NO: 1513) (SEQ ID NO: 1514) (SEQ ID NO: 1515) (SEQ ID NO: 1516) >G89199_k105_12311_3 >G141100_k105_40015_1 >ERR2017555_k103_85037_15 >G105114_k105_41340_2 (SEQ ID NO: 1517) (SEQ ID NO: 1518) (SEQ ID NO: 1519) (SEQ ID NO: 1520) >MSM6J2LY_R_k105_12804_5 >MSM6J2LW_R_k105_6849_1 >ERR2017592_k103_10557_6 >ERR2017643_k103_21045_3 (SEQ ID NO: 1521) (SEQ ID NO: 1522) (SEQ ID NO: 1523) (SEQ ID NO: 1524) >ERR2017570_k103_33081_67 >G88691_k105_48085_2 >CSM5MCUK_P_R_k105_ >ERR2017624_k103_39429_3 2644_3 (SEQ ID NO: 1525) (SEQ ID NO: 1526) (SEQ ID NO: 1527) (SEQ ID NO: 1528) >ERR2017413_k93_8044_86 >G139992_k105_8489_19 >G72678_k105_38070_58 >CSM67UCK_R_k105_4721_2 (SEQ ID NO: 1529) (SEQ ID NO: 1530) (SEQ ID NO: 1531) (SEQ ID NO: 1532) >G105053_k105_13898_1 >G36372_k105_15897_3 >ERR2017577_k103_97291_2 >ERR2017653_k103_28720_3 (SEQ ID NO: 1533) (SEQ ID NO: 1534) (SEQ ID NO: 1535) (SEQ ID NO: 1536) >G141049_k105_5901_1 >ERR2017643_k103_82303_1 >ERR2017417_k93_30693_2 >G36361_k105_7007_9 (SEQ ID NO: 1537) (SEQ ID NO: 1538) (SEQ ID NO: 1539) (SEQ ID NO: 1540) >ERR2017639_k103_29376_7 >ERR2017662_k103_5798_7 >G105117_k105_98511_3 >ERR2017628_k103_93284_1 (SEQ ID NO: 1541) (SEQ ID NO: 1542) (SEQ ID NO: 1543) (SEQ ID NO: 1544) >G140010_k105_57289_12 >G140164_k105_6796_5 >ERR2017579_k103_69277_14 >ERR2017638_k103_35116_2 (SEQ ID NO: 1545) (SEQ ID NO: 1546) (SEQ ID NO: 1547) (SEQ ID NO: 1548) >G89089_k105_4922_3 >G140002_k105_35037_2 >G140929_k105_22538_2 >ERR2017618_k103_15195_6 (SEQ ID NO: 1549) (SEQ ID NO: 1550) (SEQ ID NO: 1551) (SEQ ID NO: 1552) >HSMA33KS_R_k105_33081_1 >ERR2017645_k103_68314_2 >CSM5MCZ3_R_k105_53031_66 >ERR2017713_k103_70887_3 (SEQ ID NO: 1553) (SEQ ID NO: 1554) (SEQ ID NO: 1555) (SEQ ID NO: 1556) >ERR2017641_k103_93336_11 >G140893_k105_29308_2 >G89076_k105_12367_2 >ERR2017576_k103_81965_3 (SEQ ID NO: 1557) (SEQ ID NO: 1558) (SEQ ID NO: 1559) (SEQ ID NO: 1560) >ERR2017673_k103_2068_1 >PSM7J14X_R_k105_38756_3 >ERR2017462_k103_108003_1 >G140853_k105_22916_3 (SEQ ID NO: 1561) (SEQ ID NO: 1562) (SEQ ID NO: 1563) (SEQ ID NO: 1564) >G88975_k105_41619_1 >G105059_k105_1027_2 >G36357_k105_33008_25 >ERR2017662_k103_110809_1 (SEQ ID NO: 1565) (SEQ ID NO: 1566) (SEQ ID NO: 1567) (SEQ ID NO: 1568) >ERR2017579_k103_138612_5 >G36361_k105_35924_12 >ERR2017627_k103_6263_13 >ERR2017640_k103_88107_4 (SEQ ID NO: 1569) (SEQ ID NO: 1570) (SEQ ID NO: 1571) (SEQ ID NO: 1572) >ERR2017659_k103_123660_3 >G105035_k105_44000_30 >ERR2017478_k79_92921_5 >G140028_k105_95793_2 (SEQ ID NO: 1573) (SEQ ID NO: 1574) (SEQ ID NO: 1575) (SEQ ID NO: 1576) >G72720_k105_35517_1 >G139998_k105_43619_2 >G140946_k105_101605_4 >ERR2017598_k103_141262_71 (SEQ ID NO: 1577) (SEQ ID NO: 1578) (SEQ ID NO: 1579) (SEQ ID NO: 1580) >G140848_k105_69541_3 >ERR2017576_k103_10527_2 >G104934_k105_72385_2 >ERR2017675_k103_25515_3 (SEQ ID NO: 1581) (SEQ ID NO: 1582) (SEQ ID NO: 1583) (SEQ ID NO: 1584) >G141128_k105_2740_4 >ERR2017540_k103_49610_4 >G48822_k105_4160_2 >ERR2017631_k103_87781_12 (SEQ ID NO: 1585) (SEQ ID NO: 1586) (SEQ ID NO: 1587) (SEQ ID NO: 1588) >G105052_k105_26641_1 >G141019_k105_3266_4 >ERR2017673_k103_45139_2 >G36361_k105_13715_2 (SEQ ID NO: 1589) (SEQ ID NO: 1590) (SEQ ID NO: 1591) (SEQ ID NO: 1592) >G141056_k105_67185_1 >G48783_k105_20535_1 >ERR2017581_k103_111654_9 >G104834_k105_41478_1 (SEQ ID NO: 1593) (SEQ ID NO: 1594) (SEQ ID NO: 1595) (SEQ ID NO: 1596) >MSM79H9K_R_k105_1646_2 >ERR2017611_k103_15290_2 >PSM6XBTR_R_k105_22350_30 >G140887_k105_60859_3 (SEQ ID NO: 1597) (SEQ ID NO: 1598) (SEQ ID NO: 1599) (SEQ ID NO: 1600) >G88927_k105_52848_2 >G104939_k105_14838_1 >G89123_k105_8632_2 >ERR2017639_k103_41642_3 (SEQ ID NO: 1601) (SEQ ID NO: 1602) (SEQ ID NO: 1603) (SEQ ID NO: 1604) >ERR2017632_k103_98480_2 >G36366_k105_22517_35 >ERR2017599_k103_56131_22 >ERR2017631_k103_66813_3 (SEQ ID NO: 1605) (SEQ ID NO: 1606) (SEQ ID NO: 1607) (SEQ ID NO: 1608) >G36347_k105_11649_2 >G140775_k105_88713_2 >ERR2017686_k103_93964_6 >G105114_k105_13509_13 (SEQ ID NO: 1609) (SEQ ID NO: 1610) (SEQ ID NO: 1611) (SEQ ID NO: 1612) >ERR2017680_k103_24086_4 >ERR2017651_k103_285_5 >G105007_k105_70208_3 >ERR2017614_k103_14363_1 (SEQ ID NO: 1613) (SEQ ID NO: 1614) (SEQ ID NO: 1615) (SEQ ID NO: 1616) >G36361_k105_23481_2 >G48807_k105_7616_4 >HSM5MD4B_P_R_k105_ >ERR2017631_k103_80875_6 8794_2 (SEQ ID NO: 1617) (SEQ ID NO: 1618) (SEQ ID NO: 1619) (SEQ ID NO: 1620) >ERR2017607_k103_771_7 >G48806_k105_6474_2 >MSM6J2MB_R_k105_24448_19 >ERR2017673_k103_59386_3 (SEQ ID NO: 1621) (SEQ ID NO: 1622) (SEQ ID NO: 1623) (SEQ ID NO: 1624) >G141094_k105_67169_2 >G48796_k105_2386_1 >G104868_k105_9417_1 >ERR2017611_k103_4149_3 (SEQ ID NO: 1625) (SEQ ID NO: 1626) (SEQ ID NO: 1627) (SEQ ID NO: 1628) >MSM6J2MH_R_k105_18056_1 >ERR2017626_k103_17966_3 >G141049_k105_41538_4 >ERR2017639_k103_64959_1 (SEQ ID NO: 1629) (SEQ ID NO: 1630) (SEQ ID NO: 1631) (SEQ ID NO: 1632) >G48787_k105_123364_2 >MSM79H7Q_R_k105_52885_2 >G140002_k105_45903_3 >ERR2017662_k103_81113_1 (SEQ ID NO: 1633) (SEQ ID NO: 1634) (SEQ ID NO: 1635) (SEQ ID NO: 1636) >G141087_k105_20650_2 >G141007_k105_11427_62 >ERR2017637_k103_4812_2 >ERR2017726_k103_22993_21 (SEQ ID NO: 1637) (SEQ ID NO: 1638) (SEQ ID NO: 1639) (SEQ ID NO: 1640) >G105079_k105_69894_2 >G88761_k105_26629_15 >ERR2017525_k103_126715_5 >G140125_k105_53229_1 (SEQ ID NO: 1641) (SEQ ID NO: 1642) (SEQ ID NO: 1643) (SEQ ID NO: 1644) >P5M7J12J_R_k105_5405_1 >G104961_k105_85512_4 >ERR2017485_k79_10812_2 >G89055_k105_26750_8 (SEQ ID NO: 1645) (SEQ ID NO: 1646) (SEQ ID NO: 1647) (SEQ ID NO: 1648) >G48792_k105_85120_7 >G48789_k105_173715_2 >ERR2017482_k79_97630_2 >ERR2017520_k103_35629_7 (SEQ ID NO: 1649) (SEQ ID NO: 1650) (SEQ ID NO: 1651) (SEQ ID NO: 1652) >PSMA2675_R_k105_1833_3 >ERR2017507_k79_87156_3 >G104864_k105_39055_5 >G48789_k105_208170_8 (SEQ ID NO: 1653) (SEQ ID NO: 1654) (SEQ ID NO: 1655) (SEQ ID NO: 1656) >G48807_k105_125840_2 >G104834_k105_42339_23 >ERR2017554_k103_54487_6 >ERR2017641_k103_3944_2 (SEQ ID NO: 1657) (SEQ ID NO: 1658) (SEQ ID NO: 1659) (SEQ ID NO: 1660) >PSM7J16F_R_k105_18438_2 >G36380_k105_13375_15 >ERR2017681_k103_83175_2 >ERR2017522_k103_92373_2 (SEQ ID NO: 1661) (SEQ ID NO: 1662) (SEQ ID NO: 1663) (SEQ ID NO: 1664) >G140027_k105_44962_7 >G88962_k105_36994_4 >G48814_k105_38343_143 >ERR2017441_k93_27946_2 (SEQ ID NO: 1665) (SEQ ID NO: 1666) (SEQ ID NO: 1667) (SEQ ID NO: 1668) >ERR2017661_k103_26588_8 >G105040_k105_25904_18 >G140911_k105_7832_3 >ERR2017720_k103_279_5 (SEQ ID NO: 1669) (SEQ ID NO: 1670) (SEQ ID NO: 1671) (SEQ ID NO: 1672) >CSM5MCX3_R_k105_456_2 >G36387_k105_6608_1 >G36349_k105_24981_2 >G140114_k105_36158_1 (SEQ ID NO: 1673) (SEQ ID NO: 1674) (SEQ ID NO: 1675) (SEQ ID NO: 1676) >CSM67UEW_TR_R_k105_27826_2 >HSM6XRS6_R_k105_2394_2 >ERR2017692_k103_59563_17 >ERR2017698_k103_86960_2 (SEQ ID NO: 1677) (SEQ ID NO: 1678) (SEQ ID NO: 1679) (SEQ ID NO: 1680) >G140911_k105_70382_53 >G72703_k105_4320_10 >G141070_k105_56169_3 >CSM5MCZ3_R_k105_ 56890_20 (SEQ ID NO: 1681) (SEQ ID NO: 1682) (SEQ ID NO: 1683) (SEQ ID NO: 1684) >G48789_k105_76032_1 >CSM79HNW_R_k105_1180_6 >G141038_k105_1355_2 >G104913_k105_98027_2 (SEQ ID NO: 1685) (SEQ ID NO: 1686) (SEQ ID NO: 1687) (SEQ ID NO: 1688) >G104973_k105_24055_21 >G48793_k105_165811_2 >G140062_k105_21215_9 >G104825_k105_87732_1 (SEQ ID NO: 1689) (SEQ ID NO: 1690) (SEQ ID NO: 1691) (SEQ ID NO: 1692) >G140175_k105_767_1 >ERR2017531_k103_7041_2 >G140935_k105_19864_1 >ERR2017711_k103_60104_4 (SEQ ID NO: 1693) (SEQ ID NO: 1694) (SEQ ID NO: 1695) (SEQ ID NO: 1696) >PSM6XBTT_R_k105_52087_2 >HSMA33KS_R_k105_32797_1 >G36368_k105_10498_26 >G48819_k105_15227_376 (SEQ ID NO: 1697) (SEQ ID NO: 1698) (SEQ ID NO: 1699) (SEQ ID NO: 1700) >G88872_k105_25872_1 >ERR2017475_k79_17860_3 >ERR2017577_k103_40458_5 >G48777_k105_54242_12 (SEQ ID NO: 1701) (SEQ ID NO: 1702) (SEQ ID NO: 1703) (SEQ ID NO: 1704) >ERR2017605_k103_112193_5 >G36392_k105_54916_3 >ERR2017658_k103_54515_4 >G141047_k105_73005_3 (SEQ ID NO: 1705) (SEQ ID NO: 1706) (SEQ ID NO: 1707) (SEQ ID NO: 1708) >G48831_k105_35349_54 >G139981_k105_75402_14 >G48839_k105_38564_78 >G48780_k105_9281_60 (SEQ ID NO: 1709) (SEQ ID NO: 1710) (SEQ ID NO: 1711) (SEQ ID NO: 1712) >ERR2017618_k103_5325_51 >ERR2017609_k103_24441_1 >ERR2017615_k103_32102_3 >ERR2017602_k103_53264_2 (SEQ ID NO: 1713) (SEQ ID NO: 1714) (SEQ ID NO: 1715) (SEQ ID NO: 1716) >G48793_k105_55407_3 >G105053_k105_36503_23 >ERR2017529_k103_320_16 >G104886_k105_52538_2 (SEQ ID NO: 1717) (SEQ ID NO: 1718) (SEQ ID NO: 1719) (SEQ ID NO: 1720) >CSM79HOX_R_k105_6492_2 >G36394_k105_47440_1 >ERR2017615_k103_14852_1 >ERR2017534_k103_104387_3 (SEQ ID NO: 1721) (SEQ ID NO: 1722) (SEQ ID NO: 1723) M (SEQ ID NO: 1724) >G139982_k105_60115_1 >HSM67VFX_P_R_k105_ >G48806_k105_6646_5 >G141013_k105_56626_1 36206_2 (SEQ ID NO: 1725) (SEQ ID NO: 1726) (SEQ ID NO: 1727) (SEQ ID NO: 1728) >ERR2017458_k93_57576_38 >G139960_k105_56547_1 >ERR2017716_k103_34026_6 >MSM6J2HP_R_k105_26003_9 (SEQ ID NO: 1729) (SEQ ID NO: 1730) (SEQ ID NO: 1731) (SEQ ID NO: 1732) >G140130_k105_47779_27 >G140142_k105_28340_2 >G140878_k105_1326_2 >G48817_k105_145263_2 (SEQ ID NO: 1733) (SEQ ID NO: 1734) (SEQ ID NO: 1735) (SEQ ID NO: 1736) >ERR2017720_k103_2159_4 >ERR2017576_k103_48025_66 >G104845_k105_18262_6 >G36363_k105_20747_22 (SEQ ID NO: 1737) (SEQ ID NO: 1738) (SEQ ID NO: 1739) (SEQ ID NO: 1740) >CSM5MCX3_R_k105_2746_1 >HSM5MD7U_R_k105_10271_2 >G105008_k105_5991_3 >ERR2017602_k103_62451_1 (SEQ ID NO: 1741) (SEQ ID NO: 1742) (SEQ ID NO: 1743) (SEQ ID NO: 1744) >G72729_k105_121335_1 >ERR2017707_k103_129_1 >G104929_k105_31220_4 >G48790_k105_120264_12 (SEQ ID NO: 1745) (SEQ ID NO: 1746) (SEQ ID NO: 1747) (SEQ ID NO: 1748) >G48790_k105_15366_16 >ERR2017648_k103_43517_8 >ERR2017611_k103_15650_15 >ERR2017638_k103_84845_5 (SEQ ID NO: 1749) (SEQ ID NO: 1750) (SEQ ID NO: 1751) (SEQ ID NO: 1752) >G141100_k105_58729_3 >ERR2017700_k103_51831_9 >G140785_k105_75533_3 >G88838_k105_81324_2 (SEQ ID NO: 1753) (SEQ ID NO: 1754) (SEQ ID NO: 1755) (SEQ ID NO: 1756) >G88881_k105_12287_8 >G140963_k105_60434_10 >G48791_k105_75277_1 >G105069_k105_35867_2 (SEQ ID NO: 1757) (SEQ ID NO: 1758) (SEQ ID NO: 1759) (SEQ ID NO: 1760) >ERR2017684_k103_39976_1 >G88802_k105_7027_3 >G48793_k105_17157_96 >G104945_k105_62722_14 (SEQ ID NO: 1761) (SEQ ID NO: 1762) (SEQ ID NO: 1763) (SEQ ID NO: 1764) >ERR2017551_k103_24348_2 >ERR2017562_k103_235_1 >ERR2017696_k103_644_25 >ERR2017668_k103_94539_1 (SEQ ID NO: 1765) (SEQ ID NO: 1766) (SEQ ID NO: 1767) (SEQ ID NO: 1768) >G48826_k105_121634_114 >ERR2017546_k103_45747_2 >ERR2017622_k103_106811_93 >G72722_k105_89343_1 (SEQ ID NO: 1769) (SEQ ID NO: 1770) (SEQ ID NO: 1771) (SEQ ID NO: 1772) >G140994_k105_16303_2 >G48791_k105_146334_1 >G141100_k105_10713_3 >G105108_k105_50921_2 (SEQ ID NO: 1773) (SEQ ID NO: 1774) (SEQ ID NO: 1775) (SEQ ID NO: 1776) >ERR2017688_k103_101386_9 >CSM67UAA_R_k105_4547_2 >ERR2017600_k103_37265_2 >G104910_k105_55912_2 (SEQ ID NO: 1777) (SEQ ID NO: 1778) (SEQ ID NO: 1779) (SEQ ID NO: 1780) >ERR2017461_k103_7903_2 >G48799_k105_13424_3 >PSMB4MBK_R_k105_2030_5 >G140776_k105_17588_1 (SEQ ID NO: 1781) (SEQ ID NO: 1782) (SEQ ID NO: 1783) (SEQ ID NO: 1784) >G36347_k105_12488_64 >ERR2017686_k103_86463_6 >G140185_k105_61550_6 >ERR2017649_k103_49669_2 (SEQ ID NO: 1785) (SEQ ID NO: 1786) (SEQ ID NO: 1787) (SEQ ID NO: 1788) >G36356_k105_71558_12 >CSM5FZ3Z_P_R_k105_ >CSM7KOMT_R_k105_28504_3 >ERR2017545_k103_29168_2 21061_2 (SEQ ID NO: 1789) (SEQ ID NO: 1790) (SEQ ID NO: 1791) (SEQ ID NO: 1792) >G48780_k105_14908_2 >G72705_k105_59825_14 >G36370_k105_6051_96 >G105115_k105_101906_2 (SEQ ID NO: 1793) (SEQ ID NO: 1794) (SEQ ID NO: 1795) (SEQ ID NO: 1796) >G48802_k105_5208_71 >G48840_k105_27043_12 >G72690_k105_32079_52 >G48790_k105_4930_3 (SEQ ID NO: 1797) (SEQ ID NO: 1798) (SEQ ID NO: 1799) (SEQ ID NO: 1800) >ERR2017619_k103_10162_2 >ERR2017636_k103_10144_7 >G140004_k105_42470_1 >G88749_k105_59786_2 (SEQ ID NO: 1801) (SEQ ID NO: 1802) (SEQ ID NO: 1803) (SEQ ID NO: 1804) >G141113_k105_118013_6 >MSM5LLEP_R_k105_ >G48807_k105_45178_5 >ERR2017680_k103_8033_36 12272_24 (SEQ ID NO: 1805) (SEQ ID NO: 1806) (SEQ ID NO: 1807) (SEQ ID NO: 1808) >G140134_k105_88254_18 >ERR2017499_k103_47195_7 >G140088_k105_106610_2 >G104949_k105_52018_2 (SEQ ID NO: 1809) (SEQ ID NO: 1810) (SEQ ID NO: 1811) (SEQ ID NO: 1812) >CSM79HJI_P_R_k105_17388_4 >G72673_k105_23034_1 >G36362_k105_67656_2 >G140123_k105_32078_1 (SEQ ID NO: 1813) (SEQ ID NO: 1814) (SEQ ID NO: 1815) (SEQ ID NO: 1816) >ERR2017624_k103_11821_2 >G48832_k105_34431_20 >ERR2017643_k103_56845_13 >G89185_k105_61177_1 (SEQ ID NO: 1817) (SEQ ID NO: 1818) (SEQ ID NO: 1819) (SEQ ID NO: 1820) >G48793_k105_55427_2 >G72716_k105_24937_2 >G140004_k105_69058_5 >G88870_k105_21701_1 (SEQ ID NO: 1821) (SEQ ID NO: 1822) (SEQ ID NO: 1823) (SEQ ID NO: 1824) >ERR2017460_k93_22250_1 >G140198_k105_80297_1 >G48790_k105_116212_2 >G105029_k105_87332_1 (SEQ ID NO: 1825) (SEQ ID NO: 1826) (SEQ ID NO: 1827) (SEQ ID NO: 1828) >CSM7KOS7_R_k105_6489_46 >PSM7J15A_R_k105_10152_2 >G48780_k105_5632_22 >ERR2017549_J103_76007_8 (SEQ ID NO: 1829) (SEQ ID NO: 1830) (SEQ ID NO: 1831) (SEQ ID NO: 1832) >G104941_k105_56765_2 >ERR2017628_k103_89324_2 >G48817_k105_74075_5 >G104937_k105_52467_1 (SEQ ID NO: 1833) (SEQ ID NO: 1834) (SEQ ID NO: 1835) (SEQ ID NO: 1836) >G140109_k105_58927_1 >ERR2017704_k103_111078_1 >ERR2017693_k103_28111_10 >G140775_k105_36275_3 (SEQ ID NO: 1837) (SEQ ID NO: 1838) (SEQ ID NO: 1839) (SEQ ID NO: 1840) >G104946_k105_16056_29 >G48839_k105_61769_6 >G89065_k105_21198_7 >ERR2017528_k103_60282_14 (SEQ ID NO: 1841) (SEQ ID NO: 1842) (SEQ ID NO: 1843) (SEQ ID NO: 1844) >G89182_k105_59201_11 >G139981_k105_33639_1 >CSM5MCZD_R_k105_43999_2 >G140997_k105_35665_5 (SEQ ID NO: 1845) (SEQ ID NO: 1846) (SEQ ID NO: 1847) (SEQ ID NO: 1848) >G140899_k105_58156_2 >G48791_k105_52020_2 >G141011_k105_85952_7 >ERR2017598_k103_113995_3 (SEQ ID NO: 1849) (SEQ ID NO: 1850) (SEQ ID NO: 1851) (SEQ ID NO: 1852) >G139981_k105_87138_2 >MSM9VZIY_R_k105_14291_5 >ERR2017546_k103_19428_5 >HSM5MD53_R_k105_1522_8 (SEQ ID NO: 1853) (SEQ ID NO: 1854) (SEQ ID NO: 1855) (SEQ ID NO: 1856) >MSM79HF7_R_k105_56275_7 >G105114_k105_12242_2 >G48806_k105_14918_94 >G48817_k105_32541_37 (SEQ ID NO: 1857) (SEQ ID NO: 1858) (SEQ ID NO: 1859) (SEQ ID NO: 1860) >G140941_k105_26650_24 >ERR2017678_k103_8421_1 >PSMB4MBK_R_k105_47933_2 >G141119_k105_18175_1 (SEQ ID NO: 1861) (SEQ ID NO: 1862) (SEQ ID NO: 1863) (SEQ ID NO: 1864) >G88846_k105_59291_2 >G141820_k105_32546_5 >ERR2017579_k103_130085_3 >ERR2017673_k103_131688_1 (SEQ ID NO: 1865) (SEQ ID NO: 1866) (SEQ ID NO: 1867) (SEQ ID NO: 1868) >ERR2017622_k103_105984_114 >G141819_k105_8524_2 >G139989_k105_81433_6 >G36387_k105_11202_1 (SEQ ID NO: 1869) (SEQ ID NO: 1870) (SEQ ID NO: 1871) (SEQ ID NO: 1872) >G141004_k105_14994_12 >G139955_k105_34945_86 >G88847_k105_17327_2 >G88708_k105_510_1 (SEQ ID NO: 1873) (SEQ ID NO: 1874) (SEQ ID NO: 1875) (SEQ ID NO: 1876) >ERR2017460_k93_5217_6 >G72704_k105_26791_2 >ERR2017644_k103_67649_37 >ERR2017540_k103_42745_1 (SEQ ID NO: 1877) (SEQ ID NO: 1878) (SEQ ID NO: 1879) (SEQ ID NO: 1880) >G140829_k105_55892_2 >G104846_k105_38173_5 >G48807_k105_94506_2 >G48819_k105_1753_164 (SEQ ID NO: 1881) (SEQ ID NO: 1882) (SEQ ID NO: 1883) (SEQ ID NO: 1884) >G140009_k105_42826_4 >G88903_k105_18037_3 >ERR2017651_k103_46482_137 >MSM9VZIY_R_k105_2858_10 (SEQ ID NO: 1885) (SEQ ID NO: 1886) (SEQ ID NO: 1887) (SEQ ID NO: 1888) >PSM7J12V_R_k105_8672_7 >ERR2017574_k103_25700_5 >G48817_k105_201956_3 >ERR2017697_k103_36639_1 (SEQ ID NO: 1889) (SEQ ID NO: 1890) (SEQ ID NO: 1891) (SEQ ID NO: 1892) >G141094_k105_83047_2 >PSM7J15M_R_k105_1235_3 >G36387_k105_17027_2 >G88797_k105_19320_2 (SEQ ID NO: 1893) (SEQ ID NO: 1894) (SEQ ID NO: 1895) (SEQ ID NO: 1896) >G48792_k105_157266_20 >ERR2017725_k103_15488_3 >ERR2017682_k103_21803_1 >ERR2017613_k103_40340_1 (SEQ ID NO: 1897) (SEQ ID NO: 1898) (SEQ ID NO: 1899) (SEQ ID NO: 1900) >G89146_k105_42388_2 >G140786_k105_9825_2 >G48817_k105_101466_2 >G105024_k105_41543_4 (SEQ ID NO: 1901) (SEQ ID NO: 1902) (SEQ ID NO: 1903) (SEQ ID NO: 1904) >G72723_k105_42742_2 >G140099_k105_23605_3 >G72701_k105_37191_6 >G48790_k105_60374_4 (SEQ ID NO: 1905) (SEQ ID NO: 1906) (SEQ ID NO: 1907) (SEQ ID NO: 1908) >G140028_k105_55234_7 >ERR2017499_k103_44348_5 >G48817_k105_101539_6 >G140976_k105_46880_6 (SEQ ID NO: 1909) (SEQ ID NO: 1910) (SEQ ID NO: 1911) (SEQ ID NO: 1912) >G48817_k105_10718_12 >G36361_k105_31302_2 >MSM79HDE_R_k105_18251_9 >ERR2017580_k103_44400_2 (SEQ ID NO: 1913) (SEQ ID NO: 1914) (SEQ ID NO: 1915) (SEQ ID NO: 1916) >G104885_k105_4212_10 >ERR2017456_k93_59670_3 >CSM9X222_R_k105_47383_2 >G139981_k105_10447_2 (SEQ ID NO: 1917) (SEQ ID NO: 1918) (SEQ ID NO: 1919) (SEQ ID NO: 1920) >MSM79H81_R_k105_2813_5 >ERR2017519_k103_41937_3 >ERR2017659_k103_161416_10 >G140001_k105_81535_1 (SEQ ID NO: 1921) (SEQ ID NO: 1922) (SEQ ID NO: 1923) (SEQ ID NO: 1924) >G48812_k105_9194_1 >G48840_k105_54880_2 >ERR2017560_k103_38773_6 >HSM7CZ1C_R_k105_20468_2 (SEQ ID NO: 1925) (SEQ ID NO: 1926) (SEQ ID NO: 1927) (SEQ ID NO: 1928) >G48820_k105_15464_23 (SEQ ID NO: 1929) >ERR2017652_k103_98787_1 (SEQ ID NO: 1930)

After discovering the human gut bacterial-associated CORs capable of metabolizing cholesterol, Applicants wanted to understand their prevalence, geographic distribution and diversity within human populations. To this end, Applicants assembled multiple gut metagenomic datasets from different locations around the world (N=3,142, FIG. 2A), resulting in 5,929,528 non-redundant complete genes (Table 8). Applicants identified 25 enzymes with at least 60% amino acid identity to ECOP170, including the 10 enzymes from the NCBI non-redundant protein database shown in FIG. 1C (FIG. 13A-13C, Table 1, Table 9). To understand the distribution of each of the 25 COR homologs in the human gut, Applicants stringently mapped the metagenomic datasets to the gene catalogue and calculated the prevalence and relative abundance of the individual genes in each dataset. Across these six cohorts, the percentage of samples positive for a COR homolog varied from 34% of samples in the Human Microbiome Project 2 (HMP2) cohort to 92% of samples in the CVON cohort (FIG. 2A). The two cohorts with the lowest percentage of enzyme encoders were PRISM and HMP2, both of which contain significant numbers of samples from inflammatory bowel disease (IBD) patients who have a history of antibiotic usage. In these two IBD cohorts Applicants found that Crohn's disease and antibiotic treatment were both significantly associated with depletion of CORs, suggesting that microbes that encode this enzyme may be sensitive to terminal ileum inflammation and/or antibiotics (FIG. 2C, 2D, 2E, FIG. 14A-14B).

TABLE 9 Results from the Blast search of the combined assembly using ECOP170 as the query. Comments/ % Pair wise Query CAG numbers if Name Identity Bit-Score E Value coverage relevant G88790_k105_50573_1 99.30% 575.859 0 100.00% EC0P170 closest relative MSM5LLF6_R_k105_38794_2 93.50% 551.592 0 100.00% G139953_k105_6325_8 86.00% 509.605 0 100.00% G89005_k105_31711_1 82.20% 484.567  6.52E−175 98.92% G104929_k105_46920_10 79.00% 460.299  2.86E−165 98.92% CAG: 217 MSM9VZOKR_k105_36925_1 78.30% 455.292  2.80E−163 98.92% G140022_k105_20980_2 75.30% 450.284  2.82E−161 100.00% ERR2017598_k103_131885_26 75.20% 448.743  1.26E−160 100.00% G48791_k105_70309_15 77.50% 448.743  1.28E−160 98.57% ERR2017655_k103_67238_7 77.10% 447.973  2.97E−160 98.57% CAG: 251 ERR2017515_k79_109830_2 76.70% 446.817  6.67E−160 98.57% CAG: 341 HSM67VEO_R_k105_8042_1 74.60% 445.662  1.57E−159 100.00% CAG: 528 G72720_k105_63499_8 74.20% 445.277  2.59E−159 100.00% G141014_k105_89139_1 73.50% 438.343  1.17E−156 98.57% G36365_k105_42273_10 73.80% 434.876  3.32E−155 98.57% G88988_k105_31485_1 73.50% 431.795  4.97E−154 98.57% G139962_k105_44646_2 71.60% 429.869  2.95E−153 98.57% MSMA26AX_R_k105_23254_2 71.60% 429.483  3.29E−153 98.57% CAG: 678 MSM79H9K_R_k105_2566_3 72.40% 429.483  4.05E−153 98.57% MSMA26BX_R_k105_8138_1 67.60% 389.037  3.38E−137 98.57% G48784_k105_68315_28 67.30% 388.652  4.64E−137 98.57% G140757_k105_15337_2 65.50% 374.785  1.34E−131 98.57% G140899_k105_13945_6 61.30% 359.377  1.47E−125 100.00% ERR2017635_k103_44512_154 60.20% 353.214  3.52E−123 100.00% CAG: 180 G140183_k105_49941_12 60.90% 341.273  2.32E−118 100.00% ERR2017692_k103_50246_1 41.80% 229.95 6.26E−75 97.49% ERR2017664_k103_46392_10 41.80% 226.868 9.26E−74 97.49% G36358_k105_12421_117 43.20% 210.69 1.53E−67 97.49% G48792_k105_39954_4 40.00% 201.445 7.43E−64 99.28% G48817_k105_185451_55 38.50% 191.43 8.37E−60 97.85% G140963_k105_17761_2 39.40% 184.882 1.53E−57 98.92% G140839_k105_38876_2 36.90% 176.407 5.39E−54 96.77% G48790_k105_239255_7 36.80% 166.777 1.70E−50 98.57% MSM5FZA2_P_R_k105_41796_2 32.10% 112.849 2.48E−30 90.68% G105091_k105_21628_1 31.70% 111.694 6.70E−30 93.19% G140839_k105_7117_2 31.40% 110.153 2.29E−29 96.42% G48798_k105_49523_6 30.20% 108.227 9.64E−29 92.11% G140035_k105_98244_2 28.70% 108.227 9.93E−29 96.77% G140887_k105_41000_3 31.30% 108.612 1.18E−28 93.55% G140077_k105_8391_2 30.20% 107.457 1.72E−28 93.19% G105016_k105_27408_1 37.10% 104.375 1.54E−27 68.46% G48790_k105_174727_16 28.10% 103.219 6.27E−27 96.42% ERR2017564_k103_99141_2 28.70% 103.219 7.09E−27 96.77% G36387_k105_6608_1 31.60% 99.7525 7.52E−26 75.63% G141060_k105_19626_5 29.80% 98.9821 1.43E−25 84.95% G139981_k105_7602_2 28.40% 99.3673 1.55E−25 93.19% ERR2017646_k103_51209_2 30.50% 98.5969 1.90E−25 68.10% G36347_k105_4301_2 29.70% 98.5969 2.06E−25 80.65% MSM79H54_R_k105_50312_159 29.20% 98.9821 2.08E−25 93.19% G140130_k105_69611_14 30.50% 97.8265 4.20E−25 93.19% PSM7J1BP_R_k105_3311_3 32.70% 97.4413 5.01E−25 69.53% G48793_k105_78735_2 31.90% 96.6709 8.82E−25 67.03% CSM79HH2_P_R_k105_46311_2 37.90% 96.6709 9.71E−25 67.38% G48789_k105_173715_2 33.20% 96.2857 1.20E−24 71.68% CSM5MCZ3_R_k105_56890_20 29.70% 95.9005 1.27E−24 82.44% G72701_k105_74492_2 32.70% 96.2857 1.45E−24 69.53% G140839_k105_60449_2 36.00% 95.9005 1.59E−24 67.38% G104824_k105_28491_2 28.90% 95.9005 2.32E−24 92.11% G140164_k105_54779_1 35.80% 95.1301 2.85E−24 67.38% HSM67VFX_P_R_k105_42292_1 29.50% 95.1301 2.96E−24 68.10% ERR2017611_k103_15290_2 30.50% 95.1301 3.20E−24 72.04% ERR2017608_k103_30901_2 34.90% 95.1301 3.38E−24 68.46% G48839_k105_52798_10 36.80% 95.1301 3.85E−24 67.74% G88935_k105_37556_2 36.30% 94.7449 4.40E−24 67.38% G141069_k105_58561_4 36.30% 94.3597 5.41E−24 67.38% ERR2017598_k103_20101_4 31.30% 94.3597 5.61E−24 91.76% G140062_k105_5474_4 32.80% 94.3597 6.94E−24 68.82% G48790_k105_233201_3 32.70% 93.9745 7.56E−24 72.04% G48820_k105_6376_48 30.50% 93.5893 1.01E−23 68.10% G104929_k105_31220_4 33.70% 93.5893 1.04E−23 68.82% ERR2017732_k103_18278_4 35.80% 93.9745 1.11E−23 67.74% G88903_k105_28222_11 31.60% 93.5893 1.11E−23 67.74% CSM79HJS_R_k105_24378_2 35.80% 93.9745 1.16E−23 67.74% G140123_k105_19648_3 34.40% 93.2041 1.46E−23 67.38% G140170_k105_28494_3 35.80% 93.5893 1.48E−23 67.74% ERR2017462_k103_108003_1 29.30% 93.2041 1.51E−23 70.61% G139992_k105_29244_74 34.20% 93.2041 1.61E−23 70.97% G48790_k105_232273_10 35.80% 92.8189 1.64E−23 67.38% ERR2017631_k103_8485_8 31.90% 92.8189 1.74E−23 91.76% ERR2017734_k103_25782_5 32.50% 93.2041 1.91E−23 71.68% G140763_k105_42939_2 32.50% 92.8189 2.03E−23 81.00% G88846_k105_59291_2 32.60% 92.8189 2.04E−23 75.63% G48790_k105_15375_2 35.60% 92.8189 2.06E−23 68.10% ERR2017526_k103_44983_3 29.00% 92.8189 2.20E−23 93.19% G140946_k105_5188_2 34.90% 92.4337 2.53E−23 67.38% G140084_k105_29452_1 34.40% 92.4337 2.67E−23 67.38% G48806_k105_6571_16 29.00% 92.4337 2.91E−23 87.46% ERR2017676_k103_43858_84 35.70% 92.0485 3.16E−23 69.18% G48838_k105_70727_1 31.30% 92.4337 3.17E−23 84.23% ERR2017707_k103_129_1 33.70% 92.0485 3.23E−23 68.46% ERR2017546_k103_45747_2 31.40% 92.0485 4.10E−23 67.03% G141019_k105_3266_4 29.70% 92.0485 4.10E−23 71.33% G104996_k105_64940_13 30.90% 92.0485 4.16E−23 68.10% G104978_k105_15301_14 31.60% 91.6633 4.17E−23 67.74% G48819_k105_5295_33 28.10% 91.6633 4.35E−23 77.42% G104961_k105_85512_4 32.20% 91.6633 4.46E−23 71.68% ERR2017537_k103_30143_5 30.50% 91.6633 5.26E−23 75.63% CSM79HI7_R_k105_30053_2 30.00% 91.6633 5.97E−23 69.53% G36355_k105_53467_2 27.80% 92.0485 6.11E−23 96.06% MSM6J2LL_R_k105_35771_10 34.20% 91.6633 6.15E−23 68.46% ERR2017417_k93_30693_2 33.30% 91.2781 6.18E−23 67.38% G48841_k105_34004_4 33.00% 91.2781 6.35E−23 67.03% G72698_k105_10036_22 32.80% 91.2781 6.82E−23 67.74% ERR2017574_k103_25700_5 32.20% 90.8929 9.05E−23 69.89% ERR2017560_k103_38773_6 35.10% 90.5077 1.07E−22 68.10% G48831_k105_96700_28 32.50% 90.8929 1.12E−22 68.10% G140202_k105_73433_3 31.00% 90.5077 1.16E−22 70.97% G72726_k105_10981_53 28.40% 90.8929 1.16E−22 92.11% G72706_k105_48929_6 27.10% 90.5077 1.24E−22 74.91% HSM6XRS6_R_k105_1614_10 32.60% 90.5077 1.30E−22 67.74% ERR2017573_k103_64762_4 33.70% 90.1225 1.31E−22 67.03% ERR2017729_k103_26930_17 33.90% 90.1225 1.46E−22 68.10% G140842_k105_75049_1 35.10% 90.1225 1.60E−22 66.67% ERR2017643_k103_82303_1 30.40% 90.1225 1.62E−22 68.10% ERR2017520_k103_35629_7 30.60% 89.7373 1.63E−22 79.93% ERR2017447_k93_35502_8 32.00% 90.1225 1.73E−22 68.46% G48807_k105_45178_5 31.80% 90.1225 1.76E−22 69.53% CSM67UAA_R_k105_7607_70 34.70% 90.1225 1.78E−22 68.46% G140956_k105_4544_14 34.40% 89.7373 1.79E−22 67.38% G48819_k105_16025_5 32.10% 89.7373 1.79E−22 68.10% ERR2017685_k103_22047_2 30.20% 90.1225 1.84E−22 82.80% G104917_k105_57650_64 30.60% 89.7373 2.08E−22 68.82% G48836_k105_6741_54 33.00% 89.7373 2.27E−22 72.40% G104981_k105_100786_18 30.40% 89.7373 2.32E−22 68.10% G48796_k105_2386_1 34.00% 89.3521 2.65E−22 66.31% G48791_k105_15153_2 32.30% 89.3521 2.74E−22 68.82% ERR2017571_k103_23286_5 30.20% 89.3521 2.95E−22 82.80% G72710_k105_2519_4 31.30% 89.3521 3.17E−22 69.89% G48786_k105_293_9 33.30% 89.3521 3.31E−22 67.03% ERR2017579_k103_69277_14 32.80% 88.9669 3.43E−22 68.46% ERR2017680_k103_24086_4 34.60% 89.3521 3.45E−22 67.74% ERR2017637_k103_34182_37 34.20% 89.3521 3.49E−22 68.46% HSM7CYX8_R_k105_9231_1 30.60% 88.9669 3.49E−22 69.89% ERR2017645_k103_68314_2 31.60% 88.9669 3.65E−22 71.68% ERR2017596_k103_3269_7 30.10% 88.9669 3.73E−22 68.82% ERR2017631_k103_28158_10 31.40% 88.9669 3.78E−22 67.03% ERR2017672_k103_70607_17 32.00% 88.9669 3.98E−22 72.40% ERR2017530_k103_89168_1 33.90% 88.9669 4.02E−22 68.10% CSM5MCXN_R_k105_40367_5 30.60% 88.9669 4.15E−22 68.46% G48806_k105_2407_249 33.60% 88.9669 4.26E−22 76.70% G89076_k105_12367_2 29.30% 88.5817 4.59E−22 70.61% G48793_k105_55427_2 35.60% 88.9669 4.75E−22 69.53% G140202_k105_59108_3 34.90% 88.5817 5.16E−22 66.67% ERR2017605_k103_89465_4 31.70% 88.1965 5.89E−22 67.38% G48789_k105_208170_8 30.30% 88.1965 6.42E−22 79.93% G48842_k105_13133_55 29.80% 88.5817 6.60E−22 76.34% ERR2017679_k103_31271_57 31.10% 88.5817 6.72E−22 69.53% ERR2017554_k103_54487_6 31.10% 88.1965 6.74E−22 69.89% CSM5FZ3V_P_R_k105_16476_5 30.90% 88.1965 7.24E−22 81.00% ERR2017705_k103_31391_15 30.90% 88.1965 7.59E−22 67.38% G72685_k105_24728_3 28.90% 87.8113 8.19E−22 69.18% ERR2017630_k103_4998_2 31.00% 87.8113 8.48E−22 75.99% G36363_k105_19601_23 31.10% 87.8113 8.54E−22 68.10% G48783_k105_20535_1 30.70% 87.8113 8.89E−22 70.97% G104903_k105_38894_2 29.80% 87.8113 9.32E−22 68.10% ERR2017604_k103_15448_7 33.30% 87.8113 9.72E−22 68.10% G139962_k105_9708_29 31.10% 87.8113 1.02E−21 67.38% CSM79HHM_R_k105_56064_17 30.40% 87.8113 1.03E−21 68.10% G48840_k105_27043_12 29.30% 87.8113 1.11E−21 68.10% G141082_k105_46179_2 32.70% 87.4261 1.12E−21 61.29% G72705_k105_88413_9 32.30% 87.8113 1.12E−21 92.83% PSM7J19Z_R_k105_8383_1 29.30% 87.8113 1.15E−21 79.93% ERR2017577_k103_34879_2 32.30% 87.8113 1.16E−21 69.18% ERR2017715_k103_13231_3 31.50% 87.4261 1.17E−21 78.49% ERR2017531_k103_7041_2 30.70% 87.4261 1.19E−21 70.97% ERR2017726_k103_56_15 31.10% 87.4261 1.20E−21 78.49% G105053_k105_36503_23 31.80% 87.4261 1.26E−21 68.46% G140911_k105_70382_53 31.10% 87.8113 1.26E−21 67.74% G36362_k105_86628_2 30.60% 87.8113 1.26E−21 68.82% G104891_k105_9620_15 31.40% 87.8113 1.34E−21 73.84% G89268_k105_5906_8 30.10% 87.8113 1.38E−21 73.84% G140016_k105_3400_2 32.80% 87.4261 1.39E−21 68.10% ERR2017639_k103_30779_2 31.20% 87.4261 1.45E−21 70.25% MSM79HBR_R_k105_14580_1 31.20% 87.4261 1.46E−21 67.38% ERR2017659_k103_123660_3 32.50% 87.4261 1.52E−21 69.18% ERR2017631_k103_75292_2 30.60% 87.0409 1.63E−21 78.49% G140117_k105_31657_47 30.70% 87.0409 1.65E−21 69.53% G48790_k105_240741_28 28.90% 87.0409 1.71E−21 67.74% MSM79HDE_R_k105_18251_9 36.00% 87.0409 1.74E−21 70.97% CSM79H0Z_R_k105_13353_3 34.60% 87.0409 1.74E−21 66.67% ERR2017604_k103_9572_2 31.10% 87.0409 1.79E−21 67.38% G140766_k105_89589_11 30.90% 87.0409 1.83E−21 79.57% HSMA33IA_R_k105_28475_2 29.20% 87.0409 1.86E−21 68.46% ERR2017639_k103_25741_2 31.10% 87.0409 1.92E−21 78.49% ERR2017478_k79_92921_5 28.90% 87.0409 1.93E−21 67.74% G140002_k105_35037_2 30.70% 87.0409 1.97E−21 71.68% CSM79HNW_R_k105_1180_6 25.90% 87.0409 1.97E−21 82.44% MSM79HBR_R_k105_7392_191 31.90% 87.0409 2.07E−21 67.74% ERR2017468_k103_8422_46 29.80% 86.6557 2.15E−21 68.10% ERR2017614_k103_90584_2 32.30% 86.6557 2.23E−21 70.97% ERR2017688_k103_79028_12 31.80% 86.6557 2.28E−21 69.53% ERR2017700_k103_20170_20 31.40% 86.6557 2.33E−21 68.10% ERR2017589_k103_50590_2 30.60% 86.6557 2.49E−21 69.53% ERR2017466_k103_10370_2 34.20% 86.6557 2.51E−21 68.10% G48841_k105_20232_2 33.50% 86.2705 2.66E−21 68.46% ERR2017512_k79_51552_17 30.50% 86.6557 2.66E−21 67.38% ERR2017460_k93_53799_72 30.60% 86.6557 2.68E−21 68.82% HSMA33KS_R_k105_9141_3 32.80% 86.6557 2.75E−21 68.10% G140023_k105_7679_2 33.70% 86.2705 2.80E−21 68.10% ERR2017639_k103_21150_3 32.20% 86.2705 2.98E−21 70.25% G140963_k105_7582_3 29.50% 86.2705 3.03E−21 67.74% ERR2017579_k103_130085_3 31.30% 86.2705 3.14E−21 68.10% G48819_k105_8761_25 30.80% 86.2705 3.17E−21 61.65% ERR2017667_k103_22283_2 32.00% 85.8853 3.24E−21 69.18% PSM7J1A2_R_k105_41830_4 28.10% 86.2705 3.27E−21 68.10% ERR2017698_k103_86960_2 30.80% 85.8853 3.29E−21 82.44% ERR2017621_k103_13678_2 30.00% 86.2705 3.33E−21 78.49% ERR2017636_k103_1676_2 31.10% 86.2705 3.36E−21 67.38% G105117_k105_98511_3 30.50% 86.2705 3.45E−21 70.61% G48790_k105_260684_12 34.00% 86.2705 3.76E−21 68.46% ERR2017649_k103_96852_2 31.70% 85.8853 3.82E−21 67.38% ERR2017529_k103_44554_37 30.70% 87.0409 3.82E−21 75.63% MSM79H7Q_R_k105_52885_2 31.60% 85.8853 3.90E−21 69.53% ERR2017519_k103_59931_10 30.30% 85.8853 4.01E−21 69.53% MSM79HBR_R_k105_20818_96 31.60% 85.8853 4.09E−21 67.38% G140786_k105_12264_2 30.50% 85.8853 4.09E−21 67.38% G72673_k105_23034_1 25.90% 85.8853 4.29E−21 82.44% G140760_k105_25722_5 25.70% 85.8853 4.57E−21 74.91% G140113_k105_46706_43 30.40% 85.8853 4.58E−21 68.10% HSM5MD6Q_R_k105_1102_42 30.20% 85.8853 4.71E−21 71.33% ERR2017637_k103_19638_30 32.80% 85.8853 4.84E−21 69.53% ERR2017570_k103_37316_156 30.70% 85.5001 4.88E−21 70.97% PSM7J14X_R_k105_38756_3 29.30% 85.8853 4.89E−21 67.03% ERR2017562_k103_235_1 28.20% 85.8853 4.89E−21 71.33% ERR2017546_k103_13609_34 31.00% 85.5001 4.96E−21 66.67% ERR2017643_k103_31501_2 31.60% 85.8853 5.07E−21 78.14% ERR2017707_k103_42217_5 30.50% 85.5001 5.07E−21 67.38% G141049_k105_41538_4 29.00% 85.5001 5.07E−21 68.46% ERR2017614_k103_87945_15 30.80% 85.5001 5.31E−21 69.53% ERR2017541_k103_42614_1 29.60% 85.8853 5.41E−21 72.40% G72705_k105_28979_30 30.10% 85.5001 5.47E−21 69.89% G140962_k105_35121_2 30.30% 85.5001 5.57E−21 77.06% G88691_k105_48085_2 29.50% 85.5001 5.57E−21 79.93% ERR2017678_k103_8421_1 29.60% 85.5001 5.95E−21 70.97% G36387_k105_944_1 31.80% 85.5001 5.98E−21 69.53% ERR2017686_k103_86463_6 31.40% 85.5001 6.01E−21 70.97% ERR2017676_k103_73473_3 30.20% 85.5001 6.06E−21 67.38% ERR2017541_k103_36965_3 32.30% 85.5001 6.09E−21 66.31% G88922_k105_5121_33 29.00% 85.5001 6.15E−21 68.82% G48807_k105_51508_2 29.70% 85.5001 6.41E−21 78.49% G72690_k105_11219_11 31.40% 85.5001 6.47E−21 68.46% G88870_k105_83264_2 30.70% 85.5001 6.65E−21 68.46% ERR2017434_k93_59901_7 32.80% 85.1149 6.77E−21 68.10% ERR2017560_k103_25520_13 30.50% 85.1149 6.89E−21 66.67% MSM9VZIY_R_k105_14291_5 28.70% 85.1149 7.17E−21 71.33% ERR2017590_k103_10699_4 31.20% 85.5001 7.18E−21 79.93% G140017_k105_53136_4 31.60% 85.1149 7.38E−21 67.38% ERR2017615_k103_17583_4 29.70% 85.1149 7.45E−21 78.49% ESM5MEE6_P_R_k105_12293_2 32.90% 85.1149 7.51E−21 60.93% G140956_k105_75731_4 32.40% 85.1149 8.15E−21 67.03% ERR2017715_k103_86158_4 28.60% 85.1149 8.18E−21 78.49% CSM5MCZD_R_k105_43999_2 30.50% 85.1149 8.32E−21 70.61% HSM6XRS6_R_k105_2394_2 29.80% 85.1149 8.33E−21 68.10% G141100_k105_10713_3 29.80% 85.1149 8.48E−21 69.89% G139991_k105_2956_3 30.20% 85.1149 8.49E−21 71.33% ERR2017543_k103_47767_4 29.10% 85.1149 8.89E−21 69.53% ERR2017519_k103_10728_7 31.10% 84.7297 9.32E−21 67.38% G48836_k105_2452_2 29.90% 84.7297 9.49E−21 68.82% G36392_k105_54916_3 28.00% 84.7297 9.59E−21 68.82% G140984_k105_43097_4 27.80% 84.7297 9.68E−21 72.40% ERR2017466_k103_51357_2 32.40% 84.7297 9.86E−21 67.03% ERR2017736_k103_29211_2 30.20% 84.7297 1.01E−20 78.49% PSM7J14L_R_k105_788_2 30.80% 84.7297 1.03E−20 92.83% MSM79H94_P_R_k105_2831_50 29.30% 84.7297 1.03E−20 68.10% G48819_k105_16762_2 29.70% 84.7297 1.07E−20 61.65% ERR2017682_k103_7936_49 32.10% 84.7297 1.08E−20 68.46% G48832_k105_52527_47 30.50% 84.7297 1.13E−20 68.82% G140194_k105_52711_1 31.30% 84.7297 1.22E−20 68.10% ERR2017579_k103_16935_19 32.30% 84.3445 1.24E−20 68.10% ERR2017653_k103_21549_2 31.20% 84.7297 1.25E−20 70.25% G141007_k105_20199_3 32.50% 84.7297 1.27E−20 71.33% G104942_k105_86095_1 30.30% 84.7297 1.29E−20 69.53% ERR2017545_k103_30362_5 34.40% 84.3445 1.30E−20 68.10% G139991_k105_59268_1 30.40% 84.3445 1.33E−20 68.10% HSM7CYYB_R_k105_1319_54 30.50% 84.3445 1.36E−20 68.10% G72697_k105_41131_2 28.80% 84.3445 1.45E−20 72.40% G36361_k105_31302_2 29.70% 84.3445 1.48E−20 78.49% PSMA2668_R_k105_22069_5 30.50% 84.3445 1.50E−20 67.38% G48807_k105_71348_2 29.60% 84.3445 1.50E−20 67.38% G105029_k105_62044_2 30.20% 84.3445 1.58E−20 68.46% G48791_k105_153014_9 30.70% 84.7297 1.59E−20 75.63% ERR2017682_k103_21803_1 31.20% 83.9593 1.73E−20 70.97% G140796_k105_16048_2 29.40% 83.9593 1.73E−20 67.74% G140829_k105_29833_4 31.40% 83.9593 1.79E−20 74.91% G48840_k105_54880_2 30.20% 83.9593 1.80E−20 78.49% G140884_k105_38182_27 29.80% 83.9593 1.85E−20 68.10% G48821_k105_25306_6 33.90% 83.9593 1.92E−20 67.74% PSMA2668_R_k105_15422_6 30.10% 83.9593 1.99E−20 68.46% ERR2017650_k103_32187_1 29.10% 83.9593 2.01E−20 67.38% G88693_k105_33027_5 34.30% 83.9593 2.02E−20 68.82% ERR2017719_k103_84431_2 34.30% 83.9593 2.03E−20 68.82% ERR2017643_k103_56845_13 29.60% 83.9593 2.03E−20 66.31% ERR2017656_k103_73644_2 29.60% 83.9593 2.06E−20 67.38% ERR2017700_k103_958_15 28.10% 84.3445 2.08E−20 69.53% G141818_k105_41977_5 29.30% 83.5741 2.43E−20 74.19% ERR2017519_k103_30088_1 33.00% 83.5741 2.44E−20 68.10% ERR2017546_k103_19428_5 34.30% 83.5741 2.45E−20 68.82% G48791_k105_86514_14 29.50% 83.5741 2.45E−20 67.38% CSM79HRC_R_k105_17222_4 33.00% 83.5741 2.49E−20 68.46% G48836_k105_1332_16 26.10% 83.5741 2.69E−20 81.36% MSM6J2LW_R_k105_6849_1 27.70% 83.5741 2.72E−20 68.10% ERR2017711_k103_60104_4 28.50% 83.1889 2.98E−20 73.84% CSMACTZP_R_k105_7189_1 33.80% 83.1889 3.06E−20 71.33% G104939_k105_14838_1 31.90% 83.5741 3.10E−20 66.31% ERR2017613_k103_17263_21 31.30% 83.1889 3.13E−20 67.74% ERR2017449_k93_58342_6 33.90% 83.1889 3.42E−20 67.38% G48819_k105_3951_2 29.10% 83.1889 3.43E−20 67.38% G72676_k105_8404_3 29.20% 83.1889 3.67E−20 69.53% HSM7J4NU_R_k105_60563_136 28.20% 83.1889 3.77E−20 72.40% G48792_k105_47770_55 33.90% 83.1889 3.84E−20 66.31% G140194_k105_2179_5 28.60% 83.1889 3.84E−20 79.57% G88828_k105_42831_2 28.30% 83.1889 3.88E−20 72.40% ERR2017676_k103_30005_3 31.20% 83.1889 3.99E−20 70.25% G140114_k105_36158_1 30.60% 82.8037 4.00E−20 62.01% ERR2017658_k103_54515_4 34.60% 82.8037 4.02E−20 68.82% G48814_k105_38343_143 30.20% 82.8037 4.02E−20 70.97% G48817_k105_74075_5 30.90% 82.8037 4.06E−20 68.10% ERR2017569_k103_32123_1 29.60% 82.8037 4.13E−20 81.72% G140785_k105_75533_3 30.50% 82.8037 4.14E−20 71.33% G139992_k105_8489_19 30.40% 83.1889 4.14E−20 68.10% ERR2017542_k103_24755_5 29.70% 83.1889 4.14E−20 84.59% ERR2017634_k103_18448_9 29.70% 82.8037 4.21E−20 74.91% G140004_k105_42470_1 27.40% 82.8037 4.30E−20 82.08% G140037_k105_35216_1 34.00% 82.8037 4.34E−20 67.03% G48806_k105_17989_2 24.60% 82.8037 4.42E−20 84.59% ERR2017631_k103_9179_2 28.10% 82.8037 4.51E−20 88.89% MSM9VZMC_R_k105_1759_2 30.70% 82.8037 4.55E−20 69.18% ERR2017598_k103_14921_3 29.20% 82.8037 4.55E−20 69.53% G72720_k105_35517_1 30.20% 83.1889 4.58E−20 67.74% G48817_k105_101466_2 30.20% 82.8037 4.72E−20 72.04% G140170_k105_34453_1 34.40% 82.8037 4.76E−20 68.10% G104923_k105_5159_1 31.10% 82.8037 4.82E−20 74.91% G48817_k105_153705_4 31.10% 82.8037 4.86E−20 59.50% ERR2017600_k103_37265_2 34.60% 82.8037 4.99E−20 68.82% G72718_k105_111961_2 30.40% 82.8037 5.19E−20 68.10% G48789_k105_149270_9 31.90% 82.4185 5.21E−20 74.91% ERR2017645_k103_31037_6 31.30% 82.8037 5.24E−20 68.10% CSM5MCWG_R_k105_9232_23 29.10% 82.8037 5.39E−20 74.55% G36361_k105_23481_2 31.80% 82.8037 5.74E−20 68.10% G140880_k105_29002_6 30.00% 82.4185 5.81E−20 67.38% G140856_k105_85477_17 27.80% 83.1889 5.85E−20 72.40% MSM9VZHB_R_k105_7308_3 33.70% 82.8037 5.87E−20 69.53% ERR2017645_k103_53452_2 31.30% 82.4185 5.87E−20 70.97% ERR2017674_k103_17580_2 30.20% 82.4185 5.92E−20 78.49% G88922_k105_28537_7 30.70% 82.8037 6.09E−20 69.18% G89268_k105_89716_3 29.30% 82.4185 6.09E−20 68.10% G48790_k105_116212_2 32.50% 82.4185 6.14E−20 68.10% G48817_k105_201956_3 30.90% 82.4185 6.20E−20 68.10% MSM5LLE3_P_R_k105_19190_12 31.30% 82.4185 6.56E−20 73.84% ERR2017462_k103_105205_9 29.90% 82.4185 6.69E−20 70.25% G140004_k105_60738_19 34.70% 82.0333 6.78E−20 60.93% G36370_k105_6051_96 31.50% 82.4185 7.14E−20 69.89% G48820_k105_10194_30 29.30% 82.4185 7.22E−20 67.74% ERR2017592_k103_6902_21 32.10% 82.0333 7.24E−20 66.31% ERR2017645_k103_50783_2 31.40% 82.0333 7.47E−20 67.38% G72724_k105_78628_64 31.40% 82.4185 7.63E−20 67.74% G48821_k105_905_64 28.90% 82.0333 7.64E−20 67.74% ERR2017621_k103_14029_2 30.20% 82.0333 8.01E−20 68.10% PSM7J1BP_R_k105_4738_2 32.60% 82.0333 8.06E−20 67.74% ERR2017596_k103_13147_6 29.20% 82.0333 8.09E−20 69.53% ERR2017713_k103_83105_6 31.30% 82.0333 8.15E−20 68.46% MSM5LLE3_P_R_k105_35173_16 28.90% 82.0333 8.15E−20 70.61% ERR2017632_k103_97161_4 29.50% 82.0333 8.43E−20 68.10% G140099_k105_23605_3 30.50% 82.0333 9.14E−20 66.31% ERR2017638_k103_87961_2 30.20% 82.0333 9.14E−20 68.10% G140040_k105_32777_2 31.00% 82.0333 9.20E−20 69.18% G72708_k105_31001_38 32.70% 82.0333 9.32E−20 68.10% ERR2017533_k103_82027_2 32.20% 82.0333 9.57E−20 68.46% G88903_k105_20096_2 31.20% 82.0333 9.57E−20 67.38% G140157_k105_13446_55 30.30% 82.4185 9.92E−20 69.53% G48791_k105_146334_1 30.20% 82.0333 1.00E−19 71.68% G48815_k105_21006_2 28.70% 82.0333 1.00E−19 69.53% ERR2017673_k103_108417_7 25.90% 82.0333 1.00E−19 93.55% ERR2017616_k103_92453_2 32.50% 81.6481 1.01E−19 68.10% G88780_k105_47792_2 30.30% 81.6481 1.07E−19 69.89% G48793_k105_101096_2 30.20% 81.6481 1.07E−19 70.97% G48807_k105_120238_6 32.10% 81.6481 1.08E−19 67.38% G88990_k105_18624_3 32.30% 81.6481 1.09E−19 69.89% ERR2017631_k103_35716_2 28.30% 81.6481 1.10E−19 72.76% G88847_k105_45228_2 31.80% 81.6481 1.11E−19 68.46% ERR2017637_k103_71747_3 30.70% 81.6481 1.15E−19 69.53% ERR2017674_k103_2001_1 30.80% 81.6481 1.16E−19 68.82% G72704_k105_26791_2 29.70% 81.6481 1.16E−19 78.49% G72676_k105_40564_3 30.80% 81.6481 1.17E−19 70.97% ERR2017647_k103_66279_2 30.30% 81.6481 1.21E−19 67.38% G72724_k105_56209_57 31.70% 81.6481 1.28E−19 67.38% ERR2017728_k103_26137_2 30.40% 81.6481 1.28E−19 72.76% G141001_k105_1032_16 30.00% 81.6481 1.28E−19 67.38% ERR2017647_k103_35937_27 29.20% 81.6481 1.33E−19 68.10% G72674_k105_50410_2 34.70% 81.2629 1.36E−19 68.10% ERR2017522_k103_75403_15 29.70% 81.2629 1.41E−19 68.46% G141818_k105_36847_3 29.20% 81.6481 1.41E−19 69.53% G48832_k105_61986_2 28.70% 81.6481 1.43E−19 69.53% ERR2017576_k103_55329_31 29.70% 81.2629 1.44E−19 67.74% ERR2017667_k103_23517_2 29.40% 81.2629 1.45E−19 69.53% HSM5MD8J_P_R_k105_28407_2 27.30% 81.6481 1.45E−19 72.04% ERR2017540_k103_49610_4 31.10% 81.2629 1.49E−19 78.85% ERR2017675_k103_89501_3 29.20% 81.2629 1.49E−19 69.53% ESM5MEB7_R_k105_43306_5 29.80% 81.2629 1.51E−19 67.03% G105030_k105_45566_1 32.50% 81.2629 1.55E−19 68.10% ERR2017570_k103_24913_14 29.60% 81.2629 1.55E−19 67.38% ERR2017627_k103_1345_17 29.10% 81.2629 1.55E−19 67.38% G88935_k105_45458_3 31.60% 81.2629 1.56E−19 67.03% ERR2017617_k103_19201_14 32.60% 81.2629 1.61E−19 67.74% G104932_k105_34100_1 30.70% 81.2629 1.69E−19 72.40% MSM5LLEP_R_k105_14521_2 30.40% 81.2629 1.72E−19 68.46% ERR2017593_k103_58240_8 29.90% 81.2629 1.78E−19 68.82% ERR2017636_k103_10144_7 32.80% 81.2629 1.87E−19 67.74% ERR2017615_k103_32102_3 29.60% 80.8777 2.04E−19 67.38% ERR2017637_k103_58392_1 34.40% 80.8777 2.07E−19 68.10% G36359_k105_30659_14 30.20% 80.8777 2.10E−19 69.53% HSM7J4MY_R_k105_26504_2 30.60% 81.2629 2.11E−19 66.31% G88798_k105_24965_1 29.10% 80.8777 2.15E−19 67.38% ERR2017579_k103_120694_3 30.20% 80.8777 2.24E−19 78.49% ERR2017717_k103_52830_2 27.70% 80.8777 2.25E−19 72.40% MSM79HC8_R_k105_52475_11 29.70% 80.8777 2.28E−19 68.46% HSM67VFX_P_R_k105_36206_2 26.60% 80.8777 2.29E−19 81.00% G48817_k105_10718_12 27.90% 80.8777 2.38E−19 89.25% G140799_k105_74553_5 27.50% 81.2629 2.41E−19 68.82% ERR2017499_k103_44348_5 31.30% 80.8777 2.47E−19 68.10% ERR2017726_k103_17011_38 29.10% 80.8777 2.51E−19 71.68% ERR2017529_k103_16686_2 32.00% 80.4925 2.58E−19 68.82% CSM5MCYS_R_k105_6727_3 30.20% 80.8777 2.61E−19 68.46% G48836_k105_4249_254 29.00% 80.8777 2.67E−19 71.33% G140108_k105_20181_6 30.60% 80.4925 2.68E−19 67.38% ERR2017604_k103_65881_13 33.20% 80.4925 2.72E−19 68.10% G141092_k105_10981_4 31.30% 80.4925 2.74E−19 68.46% G72697_k105_57353_25 31.20% 80.4925 2.77E−19 60.93% G88761_k105_26629_15 29.10% 80.4925 2.84E−19 67.38% G48789_k105_111433_27 31.20% 80.4925 3.00E−19 69.89% G105082_k105_52529_2 33.90% 80.4925 3.01E−19 68.46% ERR2017447_k93_44449_16 29.20% 80.4925 3.05E−19 68.10% G48819_k105_15227_376 26.00% 80.1073 3.22E−19 75.63% ERR2017639_k103_11789_18 30.90% 80.4925 3.41E−19 68.10% ERR2017464_k103_2636_3 27.80% 80.4925 3.41E−19 72.40% ERR2017700_k103_67776_4 29.20% 80.4925 3.51E−19 69.53% G88861_k105_1699_3 30.10% 80.4925 3.53E−19 69.53% G48786_k105_9077_12 32.30% 80.1073 3.59E−19 68.46% G140922_k105_25190_14 30.40% 80.4925 3.59E−19 68.10% G104932_k105_62636_3 31.40% 80.1073 3.63E−19 68.10% ERR2017534_k103_93173_1 31.40% 80.1073 3.65E−19 67.03% G48832_k105_113_4 30.20% 80.1073 3.68E−19 70.97% G48822_k105_4160_2 30.50% 80.1073 3.70E−19 68.82% G36361_k105_7437_2 29.70% 80.1073 3.85E−19 78.49% G36396_k105_1379_3 29.70% 80.1073 3.88E−19 81.36% G104948_k105_50358_2 30.20% 80.1073 3.89E−19 68.10% G141820_k105_8524_11 31.00% 80.4925 3.96E−19 68.46% G72690_k105_32079_52 30.80% 80.1073 3.99E−19 68.10% G104824_k105_39681_1 29.90% 80.1073 4.01E−19 82.80% G141077_k105_7789_2 32.10% 79.7221 4.38E−19 66.67% ERR2017546_k103_48458_17 30.50% 80.8777 4.45E−19 70.97% G35127_k105_1676_52 29.30% 80.1073 4.58E−19 69.89% G140880_k105_13384_3 31.90% 79.7221 4.64E−19 68.10% ERR2017705_k103_118784_17 30.10% 79.7221 4.65E−19 68.46% G48820_k105_10194_88 30.70% 80.1073 4.72E−19 71.68% G139998_k105_43619_2 29.30% 79.7221 4.76E−19 75.63% G48823_k105_79555_27 31.60% 80.1073 4.78E−19 67.74% G104951_k105_10284_2 28.50% 80.1073 4.78E−19 88.17% G72711_k105_8997_61 31.20% 80.1073 4.92E−19 69.53% G104827_k105_55720_3 28.30% 79.7221 5.00E−19 68.10% MSM79HBR_R_k105_15956_1 31.90% 79.7221 5.05E−19 68.10% G88909_k105_18215_34 31.60% 79.7221 5.16E−19 67.74% G104871_k105_29408_2 30.20% 80.1073 5.17E−19 67.74% G104973_k105_42961_8 29.20% 79.7221 5.29E−19 69.53% ERR2017615_k103_36116_37 32.50% 79.7221 5.56E−19 68.10% G48780_k105_3277_39 35.50% 79.7221 5.58E−19 61.29% G104934_k105_72385_2 30.70% 79.7221 5.68E−19 68.46% G48784_k105_81628_2 29.70% 80.1073 5.70E−19 74.19% ERR2017562_k103_55879_3 32.50% 79.337 5.99E−19 68.10% ERR2017521_k103_95312_16 31.30% 79.7221 5.99E−19 68.46% ERR2017579_k103_39438_3 29.30% 79.7221 6.15E−19 68.10% G48806_k105_19999_2 29.90% 79.337 6.26E−19 69.18% G104846_k105_38173_5 32.10% 79.7221 6.33E−19 68.46% G36350_k105_31333_4 27.50% 79.337 6.36E−19 67.38% ERR2017618_k103_58465_2 36.20% 79.7221 6.66E−19 68.82% G36380_k105_43646_24 30.90% 79.337 6.83E−19 68.10% HSM5MD7Q_R_k105_12755_5 32.30% 79.337 6.92E−19 68.10% ERR2017650_k103_100733_2 33.50% 79.337 7.61E−19 68.10% ERR2017543_k103_52586_15 30.60% 79.337 7.66E−19 67.74% G141011_k105_85952_7 32.40% 79.337 7.70E−19 70.97% ERR2017459_k93_24389_1 25.90% 79.337 7.71E−19 82.44% ERR2017639_k103_46545_4 28.70% 79.337 7.83E−19 69.53% G36375_k105_17903_5 29.80% 79.337 7.85E−19 68.82% ERR2017461_k103_26273_2 31.20% 79.337 7.88E−19 69.53% ERR2017729_k103_71253_23 30.70% 78.9518 7.91E−19 67.03% G48780_k105_105879_11 32.30% 79.337 8.17E−19 67.38% ERR2017487_k79_31161_2 32.30% 79.337 8.29E−19 68.46% ERR2017611_k103_15650_15 30.90% 78.9518 8.31E−19 68.46% ERR2017602_k103_53264_2 29.60% 78.9518 8.44E−19 67.38% G89058_k105_67579_2 31.40% 78.9518 8.45E−19 68.10% G48798_k105_91248_2 30.20% 79.337 8.61E−19 74.91% ERR2017569_k103_106426_68 32.40% 78.9518 8.78E−19 66.67% ERR2017570_k103_9731_2 31.90% 78.9518 8.78E−19 68.10% G105053_k105_605_1 30.70% 78.9518 8.94E−19 74.91% G88887_k105_2260_4 28.30% 79.337 8.97E−19 72.40% ERR2017623_k103_15392_9 30.90% 79.337 9.08E−19 73.12% G139991_k105_65923_20 31.20% 79.337 9.10E−19 69.53% G48804_k105_2940_74 33.70% 78.9518 9.12E−19 61.65% G48817_k105_181825_6 31.30% 78.9518 9.42E−19 68.46% G140778_k105_22917_3 31.00% 78.9518 9.98E−19 68.82% ERR2017523_k103_54949_7 27.00% 78.9518 1.01E−18 74.91% CSM79HGV_P_R_k105_38368_7 31.30% 79.337 1.03E−18 73.48% MSM79H98_R_k105_18235_68 31.20% 78.9518 1.04E−18 76.34% ERR2017717_k103_24391_2 30.10% 79.337 1.04E−18 66.31% G36380_k105_13375_15 33.20% 78.9518 1.05E−18 67.74% G140839_k105_1033_1 32.70% 78.5666 1.07E−18 70.97% HSM7J4IQ_R_k105_33839_1 32.90% 78.9518 1.08E−18 60.93% CSM5MCZ3_R_k105_53031_66 30.70% 78.9518 1.08E−18 67.38% MSM79HBR_R_k105_13912_60 34.50% 78.9518 1.09E−18 59.14% ERR2017630_k103_46512_2 29.10% 79.337 1.10E−18 75.27% CSM67U9H_P_R_k105_10905_3 30.70% 78.9518 1.12E−18 67.38% G105082_k105_68803_2 30.70% 78.9518 1.13E−18 68.10% G140117_k105_28751_140 29.70% 78.9518 1.20E−18 67.74% G105095_k105_22590_1 30.10% 78.9518 1.21E−18 68.10% ERR2017704_k103_76394_3 32.30% 78.9518 1.22E−18 68.46% ERR2017631_k103_52150_12 30.80% 78.5666 1.22E−18 69.89% ERR2017529_k103_7226_4 31.30% 78.5666 1.24E−18 68.46% G140840_k105_36078_3 29.70% 78.9518 1.25E−18 68.46% G89162_k105_47625_2 30.70% 78.5666 1.28E−18 67.38% G48812_k105_41366_2 30.10% 78.5666 1.28E−18 68.82% ERR2017627_k103_567_1 31.90% 78.5666 1.30E−18 68.10% G141047_k105_104615_3 30.70% 78.5666 1.30E−18 67.74% G48814_k105_38059_3 31.80% 78.5666 1.31E−18 68.46% G139981_k105_41444_2 29.50% 78.5666 1.31E−18 68.46% G48780_k105_45296_49 30.60% 78.5666 1.33E−18 68.82% G140117_k105_1273_36 28.40% 78.5666 1.34E−18 68.10% ERR2017659_k103_13861_17 30.90% 78.5666 1.35E−18 66.31% G140926_k105_36262_33 28.50% 78.5666 1.37E−18 68.10% MSM9VZLN_R_k105_75483_2 26.40% 78.9518 1.39E−18 72.76% HSM5MD4B_P_R_k105_11944_2 25.40% 78.5666 1.41E−18 81.36% G105109_k105_59939_2 29.50% 78.9518 1.48E−18 71.33% G141075_k105_28565_37 27.70% 78.1814 1.48E−18 68.10% G48787_k105_50245_77 31.80% 78.5666 1.49E−18 68.46% G48789_k105_76032_1 31.50% 78.5666 1.52E−18 69.53% ERR2017736_k103_35998_2 30.00% 78.5666 1.52E−18 70.25% G36356_k105_57170_9 28.10% 78.5666 1.52E−18 68.46% G105008_k105_101226_2 30.60% 78.5666 1.56E−18 67.74% ERR2017569_k103_125456_9 30.70% 78.5666 1.60E−18 67.38% MSMA26DG_R_k105_19716_2 32.10% 78.1814 1.73E−18 67.38% G104851_k105_21388_32 31.70% 78.1814 1.84E−18 68.46% MSM79HBB_R_k105_49201_3 29.20% 78.1814 1.86E−18 67.03% G48814_k105_29432_3 28.60% 78.1814 1.86E−18 71.68% ERR2017553_k103_4307_36 28.30% 78.1814 1.92E−18 78.14% ERR2017673_k103_45139_2 28.90% 78.1814 1.95E−18 70.25% ERR2017631_k103_43743_9 29.60% 78.1814 1.96E−18 70.25% G48812_k105_55617_2 30.10% 78.1814 1.97E−18 68.46% MSM9VZMM_R_k105_17369_15 31.20% 78.5666 2.03E−18 66.31% G48804_k105_10132_2 28.20% 78.1814 2.03E−18 93.19% ERR2017555_k103_85037_15 29.90% 77.7962 2.17E−18 69.18% G105000_k105_71576_26 29.60% 78.1814 2.20E−18 67.38% G48812_k105_95414_5 28.80% 78.1814 2.28E−18 82.80% ERR2017649_k103_23134_4 30.00% 77.7962 2.35E−18 82.08% ERR2017554_k103_7348_6 30.10% 77.7962 2.36E−18 66.31% ERR2017696_k103_15968_7 29.90% 78.1814 2.39E−18 69.18% G140911_k105_7832_3 30.60% 77.7962 2.41E−18 67.38% ERR2017653_k103_72195_2 31.20% 77.7962 2.55E−18 68.46% ERR2017545_k103_41987_4 28.00% 77.7962 2.58E−18 67.38% G48806_k105_14918_94 29.50% 77.7962 2.60E−18 68.82% G89274_k105_28687_1 30.00% 77.7962 2.64E−18 79.93% ERR2017609_k103_24441_1 25.70% 77.7962 2.70E−18 66.67% G48817_k105_101539_6 29.70% 77.7962 2.71E−18 68.46% G36363_k105_7228_13 28.00% 77.7962 2.71E−18 82.80% MSMA26AZ_TR_R_k105_16815_2 28.60% 77.7962 2.75E−18 71.33% G48790_k105_42687_3 31.10% 77.411 2.87E−18 79.57% ERR2017579_k103_7547_7 30.00% 77.411 2.93E−18 60.93% G104923_k105_16556_4 30.40% 77.411 3.02E−18 69.18% G36385_k105_717_61 32.10% 77.7962 3.05E−18 66.67% G48806_k105_9468_219 33.70% 77.411 3.08E−18 61.65% G140776_k105_27903_2 31.20% 77.411 3.24E−18 68.46% ERR2017570_k103_50999_3 30.10% 77.7962 3.27E−18 67.74% PSM7J15Q_R_k105_1823_4 32.50% 77.7962 3.29E−18 67.74% G36392_k105_47848_68 28.60% 77.411 3.30E−18 68.46% G140138_k105_1098_1 31.00% 77.411 3.33E−18 65.95% G89121_k105_44588_3 30.70% 77.411 3.33E−18 70.61% G48798_k105_61937_1 30.90% 77.7962 3.37E−18 70.25% ERR2017646_k103_40362_2 32.40% 77.411 3.60E−18 62.01% G141074_k105_87157_4 30.50% 77.411 3.61E−18 67.74% ERR2017659_k103_161416_10 30.20% 77.411 3.61E−18 67.38% ERR2017661_k103_26588_8 30.40% 77.411 3.77E−18 67.74% G48820_k105_10791_11 30.10% 77.411 3.79E−18 67.74% ERR2017667_k103_86069_9 30.50% 77.0258 3.86E−18 67.38% G140785_k105_4188_1 26.00% 77.411 3.94E−18 81.36% ERR2017615_k103_1926_2 30.90% 77.0258 4.12E−18 67.38% HSMA33KQ_R_k105_11652_2 30.10% 77.411 4.23E−18 69.89% CSM5MCY8_R_k105_18625_2 30.00% 77.0258 4.31E−18 68.10% G72718_k105_87329_2 30.40% 77.0258 4.43E−18 71.33% ERR2017567_k103_35437_3 32.30% 77.0258 4.51E−18 67.38% G104868_k105_9417_1 28.70% 77.0258 4.52E−18 68.82% G48817_k105_9493_7 31.70% 77.0258 4.71E−18 67.03% G141012_k105_1567_3 28.10% 77.0258 4.76E−18 69.53% ERR2017565_k103_75451_77 29.10% 77.0258 4.87E−18 67.03% ERR2017561_k103_51819_2 28.40% 77.0258 4.91E−18 67.74% ERR2017696_k103_41202_3 29.40% 77.0258 5.00E−18 71.33% G48819_k105_15450_22 30.90% 77.0258 5.04E−18 66.67% MSM6J2K6_R_k105_46998_1 29.10% 77.0258 5.13E−18 68.46% G88922_k105_60299_2 30.20% 77.0258 5.19E−18 67.38% G48819_k105_8488_13 28.60% 77.411 5.19E−18 68.46% G48793_k105_17157_96 29.50% 76.6406 5.37E−18 68.82% G140046_k105_7512_1 30.60% 77.0258 5.55E−18 66.31% ERR2017430_k93_8771_2 31.20% 76.6406 5.73E−18 68.46% G48838_k105_78496_1 26.50% 77.0258 5.81E−18 69.53% ERR2017575_k103_85655_2 30.10% 77.0258 5.82E−18 67.74% ERR2017485_k79_10812_2 31.00% 76.6406 5.98E−18 68.82% G140946_k105_11013_8 31.80% 76.6406 6.11E−18 68.46% G141033_k105_22846_2 30.10% 76.6406 6.24E−18 68.46% G48783_k105_4609_58 29.20% 77.411 6.51E−18 68.46% ERR2017591_k103_44083_2 30.40% 76.6406 6.67E−18 69.18% G48832_k105_34466_21 32.30% 76.6406 6.68E−18 67.03% G48839_k105_61769_6 29.50% 76.6406 6.93E−18 67.74% G72716_k105_24937_2 27.90% 76.6406 7.06E−18 75.63% ERR2017636_k103_14328_5 30.30% 76.2554 7.16E−18 69.53% G72728_k105_70582_21 30.40% 76.2554 7.20E−18 69.18% ERR2017639_k103_20019_5 30.70% 76.2554 7.23E−18 68.46% G141011_k105_17791_2 30.50% 76.6406 7.23E−18 69.53% ERR2017478_k79_27058_2 28.30% 76.6406 7.24E−18 72.76% CSM5MCWQ_R_k105_13885_2 27.60% 76.2554 7.37E−18 68.46% G72679_k105_11881_23 27.90% 76.6406 7.45E−18 70.25% HSM5MD7U_R_k105_10271_2 25.10% 76.6406 7.49E−18 66.67% G140847_k105_1511_130 28.40% 76.6406 7.57E−18 67.74% ERR2017649_k103_38406_4 30.70% 76.6406 7.60E−18 67.74% ERR2017639_k103_56786_2 29.90% 76.6406 7.71E−18 69.18% ERR2017692_k103_59563_17 28.60% 76.2554 7.77E−18 68.46% ERR2017640_k103_57642_11 29.40% 76.2554 7.90E−18 68.46% ERR2017631_k103_74155_6 30.70% 76.2554 8.29E−18 68.46% ERR2017552_k103_40643_2 33.50% 77.411 8.52E−18 67.74% G141101_k105_37692_2 31.20% 76.2554 9.01E−18 69.89% ERR2017628_k103_89324_2 25.70% 76.2554 9.19E−18 66.67% G89181_k105_10605_13 29.70% 76.6406 9.26E−18 69.53% MSM9VZNH_R_k105_50637_2 30.70% 76.2554 9.27E−18 68.46% G141033_k105_50684_2 30.90% 76.2554 9.48E−18 67.03% G140028_k105_95793_2 26.80% 75.8702 9.74E−18 85.66% CSM7KOLY_R_k105_23631_22 29.70% 75.8702 1.01E−17 68.46% G139957_k105_59731_160 26.40% 76.6406 1.04E−17 89.61% ERR2017529_k103_320_16 28.60% 75.8702 1.06E−17 68.46% G48777_k105_58599_4 32.40% 75.8702 1.07E−17 60.93% ERR2017665_k103_63019_2 28.70% 75.8702 1.08E−17 78.85% PSM7J15A_R_k105_10152_2 29.70% 75.8702 1.09E−17 71.68% G140174_k105_28044_2 33.70% 75.8702 1.11E−17 59.50% G36387_k105_17027_2 31.20% 75.8702 1.14E−17 69.89% G72703_k105_26569_3 30.20% 75.8702 1.14E−17 69.53% ERR2017588_k103_108861_1 30.00% 75.8702 1.14E−17 67.74% G104834_k105_42339_23 32.40% 75.8702 1.17E−17 59.86% G89098_k105_42465_2 31.60% 75.8702 1.19E−17 68.46% ERR2017450_k93_49825_2 29.20% 75.8702 1.20E−17 68.46% ERR2017630_k103_27421_2 27.70% 75.8702 1.20E−17 69.89% G141111_k105_50887_3 28.40% 75.8702 1.21E−17 74.91% G140896_k105_60581_1 31.00% 75.8702 1.22E−17 68.82% G48796_k105_118317_45 32.70% 75.8702 1.25E−17 60.93% ERR2017603_k103_31149_3 30.70% 75.485 1.31E−17 68.46% G72678_k105_7293_14 33.70% 75.485 1.32E−17 71.33% G36361_k105_35924_12 25.10% 75.8702 1.35E−17 66.67% G48812_k105_28378_2 29.80% 75.8702 1.38E−17 66.31% G72701_k105_37191_6 29.10% 75.485 1.38E−17 67.38% HSMA33KQ_R_k105_5162_3 25.50% 75.8702 1.39E−17 90.32% G48802_k105_59965_8 30.60% 77.0258 1.40E−17 72.76% CSM67UAA_R_k105_9341_98 30.90% 75.8702 1.41E−17 68.46% G48822_k105_3561_1 29.30% 75.8702 1.43E−17 73.48% CSM7KORK_R_k105_22529_2 30.40% 75.8702 1.44E−17 68.10% CSMA9J65_R_k105_5457_4 32.30% 75.485 1.45E−17 68.46% G36347_k105_12488_64 28.80% 75.8702 1.53E−17 73.12% G140158_k105_24836_2 30.20% 75.485 1.57E−17 68.46% G36386_k105_33690_2 30.50% 75.8702 1.60E−17 68.46% ERR2017513_k79_22366_16 30.00% 75.485 1.62E−17 67.74% ERR2017731_k103_29660_2 28.70% 75.8702 1.64E−17 67.03% G72710_k105_20611_6 33.90% 75.485 1.65E−17 60.93% G139994_k105_31550_2 30.40% 75.485 1.65E−17 68.10% G141070_k105_56169_3 29.70% 75.485 1.66E−17 68.46% ERR2017547_k103_31831_32 29.00% 75.485 1.70E−17 68.82% ERR2017613_k103_23170_12 29.00% 75.485 1.74E−17 72.40% G88847_k105_17327_2 31.00% 75.0998 1.82E−17 68.82% G104953_k105_31882_18 30.40% 75.8702 1.82E−17 68.46% ERR2017729_k103_96573_1 32.50% 75.0998 1.95E−17 68.10% ERR2017720_k103_27620_3 29.20% 75.485 1.95E−17 68.10% CSM79HNI_R_k105_14150_9 32.40% 75.0998 1.98E−17 67.03% HSM7CYY3_R_k105_7873_1 31.60% 75.0998 2.04E−17 71.68% G140963_k105_60434_10 31.20% 75.0998 2.07E−17 69.53% ERR2017525_k103_126715_5 30.50% 75.0998 2.08E−17 68.82% G140812_k105_24526_16 29.60% 75.0998 2.09E−17 69.53% G141104_k105_29546_8 30.70% 75.0998 2.11E−17 70.61% HSMA33KS_R_k105_33081_1 29.50% 75.485 2.22E−17 67.74% G105114_k105_41340_2 30.30% 74.7146 2.27E−17 65.95% HSM7CYZ7_R_k105_6563_2 30.30% 75.0998 2.28E−17 68.46% PSMA2675_R_k105_1833_3 27.30% 75.485 2.28E−17 88.17% G140130_k105_2894_2 30.10% 75.0998 2.40E−17 67.74% G105031_k105_28514_2 29.50% 75.0998 2.40E−17 72.40% PSM7J19T_R_k105_32534_2 31.70% 75.0998 2.49E−17 66.31% ERR2017615_k103_14852_1 28.60% 74.7146 2.49E−17 68.46% ERR2017542_k103_45310_9 33.30% 74.7146 2.51E−17 68.46% G105114_k105_12242_2 31.10% 75.0998 2.52E−17 67.74% ERR2017729_k103_147811_16 30.30% 74.7146 2.55E−17 67.03% G140794_k105_14819_8 29.70% 74.7146 2.59E−17 69.53% G36349_k105_11369_2 33.50% 75.0998 2.61E−17 68.82% G140046_k105_9728_57 29.70% 74.7146 2.68E−17 67.74% G139989_k105_81433_6 26.80% 74.7146 2.74E−17 68.82% G36394_k105_47440_1 29.00% 74.7146 2.79E−17 67.74% G48812_k105_25551_2 29.90% 74.7146 2.88E−17 67.03% CSM7KOS7_R_k105_27908_15 30.40% 75.485 2.98E−17 75.99% HSM7J4MS_R_k105_13677_1 32.30% 74.7146 3.04E−17 68.46% G48806_k105_25902_4 27.50% 74.7146 3.23E−17 87.10% G72694_k105_45049_13 28.50% 74.7146 3.27E−17 68.82% G88745_k105_86553_4 29.40% 74.7146 3.30E−17 70.61% G48842_k105_22347_3 32.70% 74.3294 3.53E−17 70.61% G140064_k105_36251_3 29.70% 74.3294 3.53E−17 67.74% G89094_k105_2233_3 31.30% 75.0998 3.56E−17 69.18% ERR2017611_k103_101768_2 29.70% 74.7146 3.63E−17 68.46% G140083_k105_31440_2 26.90% 74.7146 3.71E−17 68.82% G104845_k105_18262_6 27.50% 74.3294 3.76E−17 67.38% G141111_k105_1068_1 30.00% 74.7146 3.77E−17 67.74% G88971_k105_22187_3 30.50% 75.485 3.82E−17 69.53% G36347_k105_4358_97 31.40% 74.3294 3.87E−17 68.10% G140062_k105_21215_9 30.70% 74.3294 4.07E−17 69.18% G48838_k105_115785_3 30.90% 74.3294 4.11E−17 70.97% G140174_k105_28629_4 29.20% 74.3294 4.20E−17 68.46% ERR2017708_k103_82617_31 31.20% 74.7146 4.21E−17 66.31% G89027_k105_33505_17 29.30% 74.3294 4.22E−17 71.68% G140941_k105_26650_24 27.70% 74.7146 4.23E−17 77.78% G48798_k105_40920_33 31.30% 74.7146 4.33E−17 67.38% PSM7J1C4_R_k105_34594_4 29.70% 74.3294 4.35E−17 67.74% ERR2017665_k103_48093_11 30.60% 74.3294 4.37E−17 60.93% G72673_k105_48013_51 31.30% 74.3294 4.38E−17 67.38% G140928_k105_58936_9 27.30% 74.3294 4.38E−17 72.76% PSMB4MBK_R_k105_47933_2 28.00% 74.3294 4.40E−17 68.82% G140004_k105_69058_5 30.10% 74.3294 4.44E−17 68.46% PSMB4MBK_R_k105_2030_5 29.20% 74.3294 4.44E−17 68.46% G141038_k105_1355_2 29.00% 74.3294 4.44E−17 68.82% G140974_k105_29066_3 29.90% 74.7146 4.52E−17 68.46% G36362_k105_56067_1 27.30% 74.3294 4.63E−17 72.76% G140130_k105_69611_44 29.70% 74.3294 4.69E−17 68.46% G139981_k105_50127_24 31.00% 74.3294 4.75E−17 70.25% MSMA2688_R_k105_44408_1 30.60% 74.3294 4.79E−17 66.31% G48807_k105_67367_2 33.20% 73.9442 4.85E−17 68.10% CSM5MCV1_P_R_k105_8313_1 28.90% 74.3294 4.93E−17 71.33% G140929_k105_22538_2 29.70% 73.9442 5.02E−17 68.46% ERR2017531_k103_73850_3 29.90% 73.9442 5.12E−17 68.46% ERR2017560_k103_31723_132 26.80% 74.3294 5.16E−17 69.18% ERR2017467_k103_57239_53 31.40% 73.9442 5.23E−17 66.67% G48814_k105_41735_16 30.40% 73.9442 5.42E−17 68.46% ERR2017438_k93_17261_2 29.40% 73.9442 5.57E−17 60.93% G105106_k105_73799_3 30.30% 73.9442 5.72E−17 68.46% G48812_k105_74869_4 29.90% 73.9442 5.72E−17 71.33% ERR2017671_k103_28810_2 31.20% 73.9442 5.74E−17 60.93% G72705_k105_82220_6 28.00% 74.3294 5.74E−17 75.99% G48806_k105_15212_1 28.60% 73.9442 5.96E−17 87.46% G104848_k105_66284_59 30.40% 74.3294 6.13E−17 68.46% G140918_k105_10126_15 27.60% 74.3294 6.13E−17 68.46% G48820_k105_13546_15 28.90% 73.9442 6.53E−17 72.76% ERR2017467_k103_139125_2 32.10% 73.559 6.60E−17 69.53% MSM9VZF7_R_k105_48462_235 29.40% 73.559 6.60E−17 79.93% G48794_k105_122196_1 30.70% 73.559 6.68E−17 67.38% G72705_k105_13805_1 26.50% 73.559 6.69E−17 67.38% G48796_k105_110428_17 31.00% 73.559 6.82E−17 66.67% G140853_k105_22848_7 27.60% 73.559 7.10E−17 68.46% MSM9VZIQ_R_k105_46797_3 31.40% 73.559 7.18E−17 67.03% G48792_k105_71109_5 29.10% 73.559 7.18E−17 70.97% G36358_k105_61218_22 34.70% 73.559 7.38E−17 60.93% G88977_k105_29795_4 32.30% 73.9442 7.44E−17 67.03% G48791_k105_52020_2 29.30% 73.559 7.56E−17 73.84% G104876_k105_48921_2 27.30% 74.7146 7.94E−17 69.53% G72678_k105_38070_58 30.80% 73.559 8.06E−17 68.10% G36392_k105_26849_1 26.50% 73.559 8.56E−17 69.53% G89274_k105_23131_2 26.50% 73.1738 8.69E−17 67.38% ERR2017631_k103_46747_36 30.20% 73.1738 9.00E−17 69.53% ERR2017665_k103_38533_6 28.70% 73.559 9.07E−17 62.01% G48842_k105_5799_2 26.30% 73.9442 9.07E−17 82.44% G72682_k105_33380_1 24.00% 73.559 9.16E−17 68.46% ERR2017634_k103_26420_71 28.90% 73.1738 9.37E−17 66.67% G140114_k105_36925_5 33.70% 73.559 9.58E−17 60.57% G104819_k105_57718_1 30.70% 73.1738 9.58E−17 68.46% G139967_k105_11935_5 28.60% 73.1738 9.68E−17 67.74% G141100_k105_40015_1 31.10% 73.1738 1.00E−16 68.10% PSMA264W_R_k105_14772_1 29.40% 73.1738 1.01E−16 68.46% ERR2017579_k103_124057_15 31.30% 73.9442 1.02E−16 69.18% G104908_k105_22979_1 27.60% 73.1738 1.05E−16 68.46% MSM79HAJ_R_k105_43872_3 28.20% 73.1738 1.07E−16 72.76% ERR2017729_k103_10463_4 30.60% 73.1738 1.11E−16 61.65% G140066_k105_33923_60 28.90% 73.1738 1.11E−16 69.18% CSM67UB3_R_k105_36722_1 29.10% 73.559 1.12E−16 71.68% ERR2017714_k103_34019_6 30.80% 73.1738 1.13E−16 65.59% G36368_k105_10498_26 28.10% 73.1738 1.15E−16 68.46% G48831_k105_99278_1 29.80% 73.1738 1.18E−16 67.03% ERR2017586_k103_34313_1 29.40% 72.7886 1.18E−16 60.93% ERR2017622_k103_28892_5 29.70% 73.559 1.19E−16 74.19% CSM67UAA_R_k105_4547_2 33.00% 73.1738 1.21E−16 67.74% MSM5LLF2_P_R_k105_7521_1 31.40% 72.7886 1.22E−16 60.93% ERR2017733_k103_40423_1 27.30% 73.1738 1.24E−16 72.76% ERR2017596_k103_15764_10 31.40% 73.9442 1.25E−16 68.10% G89190_k105_61505_2 28.10% 73.1738 1.26E−16 70.25% G140010_k105_23406_12 28.10% 72.7886 1.27E−16 68.46% ERR2017541_k103_1333_35 31.80% 72.7886 1.29E−16 67.38% ERR2017645_k103_8615_2 30.20% 72.7886 1.29E−16 69.53% G105012_k105_23488_2 28.70% 72.7886 1.34E−16 67.03% G48793_k105_165811_2 29.10% 72.7886 1.37E−16 69.53% G140166_k105_29852_2 29.20% 72.7886 1.38E−16 68.46% G48791_k105_172039_1 28.40% 72.7886 1.39E−16 74.19% G48838_k105_62400_3 29.80% 72.7886 1.40E−16 67.74% MSM5LLIC_P_R_k105_75349_10 31.80% 72.7886 1.44E−16 66.67% G140953_k105_120914_2 29.90% 72.7886 1.50E−16 67.74% G140842_k105_98923_2 30.40% 72.4034 1.54E−16 67.74% G140044_k105_50730_3 29.00% 72.7886 1.54E−16 70.97% G105037_k105_8994_1 28.80% 72.7886 1.54E−16 70.61% ERR2017675_k103_105871_2 30.80% 72.7886 1.58E−16 68.46% ERR2017651_k103_27728_1 31.60% 73.1738 1.59E−16 67.74% ERR2017685_k103_54893_9 29.90% 72.7886 1.61E−16 68.46% G105114_k105_13509_13 30.80% 72.4034 1.62E−16 65.95% ERR2017692_k103_64673_14 30.30% 72.4034 1.64E−16 66.67% ERR2017551_k103_58834_2 30.00% 72.4034 1.64E−16 60.93% ERR2017675_k103_2518_13 29.10% 72.4034 1.69E−16 79.57% G89065_k105_21198_7 32.30% 72.4034 1.73E−16 66.31% ERR2017652_k103_132156_1 31.00% 73.559 1.79E−16 74.19% G141121_k105_45918_4 26.90% 73.559 1.79E−16 69.53% G104864_k105_39055_5 29.90% 72.4034 1.81E−16 68.82% G140990_k105_23667_1 29.40% 72.4034 1.81E−16 69.53% MSM79H81_R_k105_297_2 29.40% 72.4034 1.83E−16 71.68% G104817_k105_46932_2 27.60% 72.4034 1.86E−16 67.74% G104950_k105_35992_3 31.80% 72.4034 1.94E−16 67.03% ERR2017470_k103_59428_1 29.40% 72.4034 1.96E−16 75.27% G48817_k105_85681_52 31.10% 72.4034 1.99E−16 67.74% G141049_k105_5901_1 33.90% 72.7886 2.00E−16 66.67% G36371_k105_20134_2 28.60% 72.4034 2.03E−16 67.38% G140844_k105_28329_2 29.00% 72.7886 2.04E−16 66.31% ERR2017629_k103_66774_5 29.70% 72.4034 2.11E−16 68.46% ERR2017618_k103_5325_51 30.10% 72.4034 2.22E−16 68.10% MSM6J2HT_R_k105_19441_2 29.80% 72.4034 2.22E−16 68.10% ERR2017615_k103_3682_23 29.80% 72.4034 2.27E−16 73.12% HSM67VDP_R_k105_1954_2 29.40% 72.4034 2.29E−16 72.76% ERR2017460_k93_8951_28 28.80% 72.0182 2.36E−16 68.10% G89146_k105_48867_8 27.90% 72.0182 2.36E−16 71.33% CSM5FZ3Z_P_R_k105_21061_2 30.90% 72.4034 2.37E−16 72.40% G140037_k105_108806_1 29.70% 72.0182 2.37E−16 67.74% G140946_k105_101605_4 28.90% 72.0182 2.43E−16 68.82% G72714_k105_52650_12 28.60% 72.0182 2.43E−16 69.89% MSM6J2ML_R_k105_5326_1 28.10% 72.0182 2.50E−16 67.74% ERR2017592_k103_37689_4 27.00% 72.4034 2.75E−16 88.53% G48799_k105_13424_3 31.30% 72.0182 2.76E−16 74.55% HSM7J4JH_R_k105_14118_58 31.80% 72.0182 2.87E−16 60.93% G140004_k105_20922_4 27.80% 72.0182 2.98E−16 70.61% ERR2017696_k103_37858_5 30.60% 71.633 3.02E−16 60.93% ERR2017641_k103_42292_126 29.90% 72.0182 3.04E−16 81.00% G141115_k105_109409_10 27.60% 72.0182 3.06E−16 88.53% G72704_k105_35507_2 29.60% 71.633 3.15E−16 67.38% G48826_k105_121634_114 29.60% 72.0182 3.16E−16 67.03% ERR2017543_k103_42400_53 29.20% 72.0182 3.16E−16 68.46% ERR2017639_k103_41642_3 30.30% 71.633 3.18E−16 67.38% G48806_k105_6474_2 29.10% 72.0182 3.24E−16 79.93% G139969_k105_67207_2 28.80% 71.633 3.24E−16 70.97% G140878_k105_1326_2 28.80% 71.633 3.27E−16 68.10% ERR2017472_k79_29458_1 30.30% 71.633 3.32E−16 68.46% ERR2017681_k103_69143_1 27.50% 71.633 3.33E−16 67.74% ERR2017662_k103_5798_7 28.60% 72.0182 3.34E−16 69.53% ERR2017532_k103_56479_6 33.70% 72.0182 3.37E−16 60.57% G105056_k105_87698_2 29.60% 71.633 3.47E−16 68.46% G48817_k105_18221_3 32.70% 71.633 3.48E−16 69.53% G140198_k105_80297_1 28.60% 71.633 3.54E−16 69.89% G36349_k105_24981_2 29.70% 71.633 3.57E−16 68.46% ERR2017482_k79_97630_2 29.90% 71.633 3.76E−16 68.82% ERR2017683_k103_72749_36 28.30% 71.633 3.78E−16 69.89% G139955_k105_37242_1 26.90% 71.633 3.81E−16 74.55% G48821_k105_7671_13 31.20% 71.633 3.95E−16 60.93% G36357_k105_33008_25 28.60% 71.633 3.96E−16 70.97% ERR2017686_k103_15973_13 29.90% 71.633 4.00E−16 65.95% G141022_k105_9452_2 28.60% 71.2478 4.09E−16 68.82% ERR2017686_k103_70767_3 31.10% 71.633 4.26E−16 68.46% G89273_k105_100810_11 30.40% 71.2478 4.38E−16 67.38% CSM7KOS7_R_k105_38487_2 29.50% 71.2478 4.42E−16 67.74% CSM7KOS7_R_k105_32171_23 30.00% 71.2478 4.56E−16 72.40% G141072_k105_3486_5 27.20% 71.2478 4.71E−16 68.46% ERR2017499_k103_47195_7 32.50% 71.2478 4.73E−16 67.74% ERR2017553_k103_35130_4 28.10% 71.2478 4.76E−16 69.89% G140010_k105_57627_4 31.20% 71.2478 5.02E−16 60.93% G72705_k105_67941_3 28.10% 71.2478 5.10E−16 68.10% ERR2017715_k103_76704_238 29.40% 71.633 5.11E−16 68.46% G36370_k105_2703_6 29.20% 71.2478 5.17E−16 87.81% G139981_k105_33639_1 28.10% 71.2478 5.28E−16 67.03% G140978_k105_63578_1 29.90% 71.2478 5.31E−16 74.55% G88977_k105_52915_6 28.90% 71.2478 5.46E−16 68.46% G104823_k105_6038_3 29.40% 71.2478 5.58E−16 76.34% G88922_k105_31346_4 26.30% 71.2478 5.62E−16 72.76% ERR2017589_k103_30004_2 30.90% 71.2478 5.65E−16 68.46% G140785_k105_27068_4 31.20% 71.633 5.67E−16 68.46% G140964_k105_42289_4 26.90% 71.633 5.67E−16 66.67% ERR2017616_k103_40933_3 29.80% 71.2478 5.68E−16 59.50% ERR2017546_k103_42352_1 30.00% 70.8626 5.71E−16 60.93% ERR2017607_k103_771_7 27.40% 71.2478 5.78E−16 70.25% G140815_k105_17357_1 28.80% 70.8626 5.83E−16 60.93% G48780_k105_5632_22 28.50% 71.2478 5.89E−16 72.40% ERR2017590_k103_24140_5 30.00% 70.8626 5.95E−16 60.93% G105028_k105_26718_13 30.30% 71.2478 6.05E−16 67.03% G72682_k105_65246_2 27.80% 70.8626 6.06E−16 82.44% ERR2017503_k79_95428_2 31.00% 70.8626 6.10E−16 60.93% G140935_k105_19864_1 29.90% 70.8626 6.19E−16 68.82% G48780_k105_27701_9 27.20% 71.2478 6.21E−16 68.82% G140123_k105_94472_13 30.20% 70.8626 6.27E−16 67.38% G140853_k105_81403_12 29.40% 70.8626 6.29E−16 60.93% MSM9VZHF_R_k105_24116_10 31.20% 70.8626 6.41E−16 72.40% G48786_k105_13537_5 27.20% 71.2478 6.53E−16 89.25% G140812_k105_74353_12 27.50% 70.8626 6.65E−16 70.97% G141126_k105_108681_4 28.40% 70.8626 6.76E−16 67.74% G72679_k105_8292_24 30.60% 70.8626 6.96E−16 76.34% G48842_k105_48485_10 30.60% 70.8626 7.05E−16 60.93% G104829_k105_55725_2 29.30% 70.8626 7.18E−16 67.03% MSM6J2JN_R_k105_26390_3 29.40% 70.8626 7.26E−16 70.97% G72703_k105_93504_221 30.70% 70.8626 7.29E−16 67.38% G140878_k105_42061_6 31.90% 70.8626 7.61E−16 66.67% G48784_k105_9215_6 30.00% 70.8626 7.75E−16 67.74% ERR2017639_k103_41282_3 26.80% 70.8626 7.76E−16 67.38% G141126_k105_78436_9 27.80% 70.8626 7.81E−16 69.89% G48823_k105_22307_8 28.90% 70.4774 7.86E−16 68.46% ERR2017465_k103_36271_2 29.20% 71.2478 7.94E−16 68.46% ERR2017576_k103_30046_58 28.40% 70.8626 8.23E−16 68.46% G141111_k105_77307_1 31.00% 70.4774 8.25E−16 82.44% G48792_k105_43316_2 32.00% 70.4774 8.31E−16 68.46% G141069_k105_86012_2 30.00% 70.8626 8.36E−16 53.41% ERR2017581_k103_111654_9 28.60% 70.4774 8.48E−16 68.46% G48780_k105_59164_29 30.10% 71.2478 8.69E−16 68.82% ERR2017519_k103_62300_2 28.70% 70.8626 8.70E−16 59.14% ERR2017729_k103_69352_9 29.50% 71.2478 9.07E−16 67.38% G140004_k105_4550_2 29.50% 70.4774 9.49E−16 72.76% ERR2017697_k103_6305_6 28.20% 70.4774 9.69E−16 68.46% MSM79HFY_R_k105_21547_2 31.10% 70.8626 1.02E−15 66.67% ERR2017592_k103_16547_2 30.10% 70.4774 1.03E−15 72.40% G140944_k105_16781_2 28.70% 70.4774 1.03E−15 68.82% G105060_k105_55730_7 29.40% 70.4774 1.05E−15 65.59% ERR2017569_k103_48771_95 29.90% 70.4774 1.06E−15 69.18% HSMA33IE_R_k105_11891_7 30.50% 70.4774 1.08E−15 70.25% G48791_k105_90596_2 29.10% 70.0922 1.09E−15 67.38% CSM7KOMT_R_k105_28504_3 30.70% 70.4774 1.11E−15 68.46% G48819_k105_13403_4 27.60% 70.8626 1.12E−15 60.93% ERR2017659_k103_167409_2 29.10% 70.0922 1.15E−15 69.89% G140856_k105_25451_6 29.00% 70.4774 1.15E−15 67.74% ERR2017645_k103_27071_3 28.70% 70.0922 1.16E−15 68.46% G88922_k105_31372_2 30.00% 70.4774 1.18E−15 68.46% G48836_k105_297_13 28.60% 70.4774 1.18E−15 87.46% G140126_k105_56160_25 31.40% 70.0922 1.19E−15 70.61% G36355_k105_45725_3 30.50% 70.8626 1.22E−15 67.38% ERR2017611_k103_38262_22 31.60% 70.0922 1.23E−15 67.38% G88801_k105_91964_2 28.90% 70.0922 1.23E−15 67.74% ERR2017627_k103_6263_13 29.60% 70.0922 1.24E−15 70.61% G48806_k105_6646_5 32.30% 70.0922 1.25E−15 69.18% ERR2017658_k103_22266_4 31.80% 70.0922 1.25E−15 60.93% MSM79H6H_R_k105_62198_2 33.70% 70.4774 1.27E−15 60.57% G48814_k105_22040_2 26.70% 70.4774 1.27E−15 88.17% G89114_k105_73923_2 29.90% 70.4774 1.29E−15 78.85% ERR2017708_k103_76473_2 30.00% 70.0922 1.30E−15 60.93% G105108_k105_69257_2 28.90% 70.0922 1.31E−15 68.46% G48820_k105_10194_59 31.40% 70.0922 1.33E−15 70.61% ERR2017465_k103_80995_19 27.80% 70.0922 1.33E−15 70.61% G48842_k105_53827_1 32.40% 70.4774 1.35E−15 60.57% HSM7J4JH_R_k105_5288_2 30.10% 70.0922 1.38E−15 69.18% G105000_k105_29605_5 30.70% 70.0922 1.39E−15 67.38% ERR2017681_k103_83175_2 29.60% 70.0922 1.39E−15 68.46% G48804_k105_7820_2 27.80% 70.0922 1.40E−15 79.93% ERR2017630_k103_14364_7 29.70% 70.0922 1.42E−15 67.38% G105007_k105_70208_3 28.40% 70.0922 1.44E−15 68.46% PSMB4MBK_R_k105_12074_1 33.50% 69.707 1.45E−15 60.93% G140936_k105_10836_2 29.20% 70.0922 1.46E−15 67.38% G48842_k105_44309_2 27.20% 70.0922 1.47E−15 89.25% HSMA33KS_R_k105_43252_2 28.60% 70.0922 1.48E−15 68.46% ERR2017692_k103_55436_2 26.60% 70.0922 1.48E−15 79.21% ERR2017622_k103_106811_93 28.10% 70.0922 1.54E−15 68.46% ERR2017581_k103_23882_1 30.10% 70.4774 1.61E−15 66.31% G48783_k105_11351_31 29.60% 69.707 1.61E−15 72.40% PSM7J17B_R_k105_3018_2 28.80% 70.0922 1.69E−15 67.74% G105114_k105_85635_12 28.90% 69.707 1.70E−15 66.67% G140794_k105_47545_1 28.40% 69.707 1.73E−15 70.61% G89024_k105_70708_2 28.40% 69.707 1.73E−15 69.53% ERR2017627_k103_4486_8 27.50% 70.0922 1.73E−15 72.76% ERR2017640_k103_88107_4 31.90% 69.3218 1.80E−15 66.67% CSM67UFZ_R_k105_15295_1 30.80% 70.0922 1.81E−15 60.57% G36355_k105_53467_3 28.30% 70.0922 1.82E−15 66.31% PSM7J15Q_R_k105_5086_2 26.60% 69.707 1.82E−15 70.61% G72703_k105_73123_2 30.80% 69.707 1.83E−15 69.18% CSM5MCZ3_R_k105_2687_1 29.40% 69.707 1.83E−15 60.93% ERR2017682_k103_61144_2 28.80% 69.707 1.86E−15 60.93% G140906_k105_41161_5 28.60% 69.707 1.92E−15 65.95% G140835_k105_62319_2 27.90% 69.707 1.92E−15 70.61% G48817_k105_56869_4 31.10% 69.707 1.96E−15 67.38% G140014_k105_73358_5 30.30% 70.0922 2.03E−15 68.46% G140954_k105_17301_3 29.10% 70.0922 2.03E−15 70.97% ERR2017631_k103_67330_2 29.10% 69.707 2.07E−15 68.46% G36370_k105_15464_32 27.30% 69.707 2.14E−15 68.46% G104926_k105_4769_3 29.50% 70.0922 2.16E−15 67.38% G72689_k105_14628_1 28.30% 69.3218 2.18E−15 70.61% G140176_k105_10093_4 28.20% 69.707 2.18E−15 68.46% G104817_k105_7956_3 27.50% 69.3218 2.22E−15 67.38% HSMA33KS_R_k105_32797_1 31.40% 69.707 2.24E−15 65.59% ERR2017675_k103_63644_2 29.40% 69.3218 2.29E−15 68.46% G48791_k105_118790_2 29.50% 69.707 2.32E−15 77.78% ERR2017576_k103_66017_3 27.90% 69.707 2.33E−15 72.76% ERR2017631_k103_87781_12 32.40% 69.3218 2.34E−15 66.67% G141820_k105_32546_5 26.30% 69.3218 2.37E−15 70.61% G139971_k105_38132_9 28.10% 69.3218 2.39E−15 60.93% G105115_k105_101906_2 32.30% 68.1662 2.41E−15 46.24% G140164_k105_6796_5 31.40% 69.3218 2.43E−15 66.67% G140898_k105_71565_3 28.30% 69.3218 2.43E−15 68.10% G48839_k105_38564_78 29.20% 69.3218 2.45E−15 68.46% ERR2017528_k103_38552_58 27.30% 69.3218 2.45E−15 70.61% G140103_k105_62665_68 31.60% 69.3218 2.46E−15 60.93% G48815_k105_38100_1 28.90% 69.707 2.47E−15 67.74% G48798_k105_72677_20 27.20% 69.707 2.48E−15 70.97% G140142_k105_28340_2 27.20% 69.3218 2.55E−15 69.53% G140042_k105_13126_4 28.50% 69.707 2.58E−15 76.70% ERR2017696_k103_644_25 29.10% 69.3218 2.62E−15 71.33% G48807_k105_85359_4 26.80% 69.3218 2.62E−15 70.61% G139960_k105_56547_1 30.50% 69.3218 2.63E−15 74.19% G88933_k105_34966_2 29.30% 69.3218 2.64E−15 68.46% G105079_k105_69894_2 30.60% 69.707 2.66E−15 66.31% G72679_k105_23874_2 29.30% 69.707 2.68E−15 68.46% ERR2017499_k103_15424_9 28.10% 69.3218 2.68E−15 68.46% ERR2017591_k103_14557_13 28.00% 69.3218 2.69E−15 66.31% G139975_k105_13036_15 28.30% 69.707 2.74E−15 65.59% G104987_k105_47329_7 29.60% 69.3218 2.80E−15 70.61% CSM67UCK_R_k105_4721_2 26.60% 68.9366 2.80E−15 84.95% G104997_k105_6428_1 30.30% 68.9366 2.95E−15 67.03% G36369_k105_7468_41 27.90% 68.9366 3.00E−15 70.97% G104940_k105_62353_9 28.60% 68.9366 3.08E−15 68.46% ERR2017605_k103_28752_5 30.70% 68.9366 3.13E−15 68.46% G140038_k105_8824_4 29.20% 69.707 3.19E−15 68.46% G104888_k105_56380_1 29.30% 68.9366 3.20E−15 68.46% G89065_k105_45479_46 28.30% 69.3218 3.27E−15 66.67% ERR2017507_k79_87156_3 29.90% 68.9366 3.45E−15 68.82% CSM5MCUK_P_R_k105_2644_3 29.40% 68.9366 3.45E−15 69.18% G140884_k105_31816_4 29.50% 68.9366 3.46E−15 82.08% G104902_k105_32791_3 28.70% 68.9366 3.54E−15 68.46% CSM67UAA_R_k105_3231_22 30.00% 68.9366 3.57E−15 60.93% G48826_k105_19931_2 30.60% 68.9366 3.59E−15 60.93% G88802_k105_7027_3 28.20% 68.9366 3.59E−15 69.18% HSM67VHJ_R_k105_27562_2 30.40% 68.9366 3.61E−15 68.10% ERR2017460_k93_22387_19 30.30% 68.9366 3.68E−15 69.89% G48791_k105_197996_43 28.70% 69.3218 3.77E−15 67.03% G72705_k105_69611_3 28.50% 68.9366 3.84E−15 68.46% G140106_k105_9553_2 33.10% 69.3218 3.87E−15 60.57% G88725_k105_49824_3 30.10% 68.9366 3.87E−15 68.10% G139955_k105_34945_86 30.50% 68.9366 3.88E−15 70.25% ERR2017553_k103_17444_16 30.60% 68.9366 3.89E−15 68.82% ERR2017522_k103_92373_2 30.30% 68.5514 3.99E−15 68.46% ERR2017644_k103_53390_2 30.00% 68.5514 3.99E−15 60.93% G48832_k105_22286_20 29.80% 68.9366 4.07E−15 68.82% ERR2017716_k103_2675_95 30.00% 68.5514 4.11E−15 69.89% ERR2017618_k103_99515_8 29.60% 68.5514 4.17E−15 65.95% G48791_k105_75277_1 28.60% 68.5514 4.21E−15 68.46% G88829_k105_87104_2 30.50% 68.5514 4.24E−15 69.53% ERR2017682_k103_22302_10 28.90% 68.5514 4.49E−15 69.53% G140940_k105_2539_6 26.50% 68.9366 4.55E−15 80.29% ERR2017611_k103_4149_3 29.80% 68.1662 4.67E−15 66.67% G141105_k105_63598_2 30.20% 68.5514 4.68E−15 68.10% ERR2017551_k103_24348_2 29.90% 68.9366 4.70E−15 68.46% MSM6J2MB_R_k105_1120_15 31.40% 68.5514 4.74E−15 74.19% MSM79HF5_R_k105_44724_1 30.20% 68.5514 4.74E−15 70.61% CSM79HOX_R_k105_6492_2 27.30% 68.9366 4.94E−15 69.89% G36362_k105_67656_2 28.10% 68.5514 5.04E−15 68.46% G36347_k105_17334_2 29.00% 68.5514 5.07E−15 68.46% G48838_k105_75333_3 29.40% 68.5514 5.13E−15 60.93% G72705_k105_59825_14 27.10% 68.5514 5.21E−15 67.03% G48807_k105_78138_2 30.20% 68.1662 5.30E−15 67.38% MSMAPC64_R_k105_30838_3 26.60% 68.5514 5.52E−15 68.82% ERR2017705_k103_32472_164 29.40% 68.1662 5.53E−15 71.33% ERR2017639_k103_64959_1 29.90% 68.1662 5.54E−15 66.67% ERR2017604_k103_27454_1 28.40% 68.5514 5.54E−15 68.46% G104890_k105_26539_4 29.40% 68.1662 5.59E−15 60.93% ERR2017605_k103_112848_7 28.20% 68.5514 5.79E−15 77.78% ERR2017650_k103_39143_6 30.60% 68.5514 5.91E−15 68.46% ESM5ME9D_P_R_k105_8239_28 29.80% 68.5514 5.91E−15 68.10% G105000_k105_71576_21 28.40% 68.5514 6.10E−15 69.53% G72736_k105_15451_30 31.30% 68.1662 6.27E−15 67.74% G48793_k105_55407_3 28.60% 68.5514 6.35E−15 68.46% G141120_k105_23294_2 30.50% 68.9366 6.36E−15 67.74% G72690_k105_43433_28 30.20% 68.1662 6.48E−15 71.33% CSM79HN2_R_k105_79021_36 30.90% 68.1662 6.58E−15 67.74% G72732_k105_65944_32 29.90% 68.1662 6.63E−15 65.95% ERR2017599_k103_56131_22 29.10% 68.1662 6.63E−15 70.97% ERR2017455_k93_45055_30 28.60% 68.5514 6.88E−15 68.46% ERR2017593_k103_73404_2 31.00% 68.1662 6.91E−15 68.46% G139967_k105_51614_3 26.60% 68.1662 6.92E−15 68.46% G141131_k105_100422_5 28.00% 68.1662 7.00E−15 67.74% ERR2017466_k103_20068_8 28.10% 68.5514 7.10E−15 67.74% CSM79HPA_TR_R_k105_18257_2 29.60% 68.1662 7.12E−15 68.10% ERR2017673_k103_2068_1 29.00% 68.5514 7.18E−15 68.46% MSM6J2MB_R_k105_24448_19 29.10% 68.1662 7.19E−15 68.82% G140969_k105_53042_4 30.50% 68.1662 7.29E−15 69.53% G72694_k105_57124_26 29.10% 68.9366 7.37E−15 68.46% ERR2017735_k103_48650_67 27.60% 68.5514 7.38E−15 78.14% ERR2017669_k103_1204_14 25.50% 68.1662 7.47E−15 69.53% G141016_k105_75496_1 27.80% 68.1662 7.74E−15 68.46% G140088_k105_106610_2 31.50% 67.781 7.76E−15 70.25% G141131_k105_35049_9 26.90% 68.1662 8.29E−15 68.10% ERR2017482_k79_94078_13 28.40% 67.781 8.63E−15 69.53% G72723_k105_42742_2 26.90% 68.1662 8.63E−15 68.10% G72709_k105_49303_2 28.90% 67.781 8.72E−15 69.18% G140872_k105_23093_4 26.40% 67.781 8.74E−15 67.74% ERR2017689_k103_58946_1 25.80% 67.781 8.75E−15 70.61% G140798_k105_91769_2 29.40% 67.781 8.97E−15 71.68% G48815_k105_10150_2 27.70% 68.1662 9.40E−15 69.53% G48812_k105_88827_4 31.10% 67.781 9.85E−15 68.46% ERR2017700_k103_51831_9 27.90% 67.781 9.91E−15 67.74% ERR2017613_k103_45054_1 30.00% 67.781 1.01E−14 60.93% ERR2017617_k103_22796_2 31.50% 67.3958 1.02E−14 68.10% G140964_k105_58498_9 27.00% 67.781 1.03E−14 92.11% ERR2017456_k93_59670_3 30.50% 67.781 1.11E−14 70.25% ERR2017556_k103_13482_18 32.50% 67.3958 1.12E−14 70.25% ERR2017611_k103_55710_1 28.70% 68.1662 1.14E−14 67.03% G140109_k105_79476_1 28.00% 67.3958 1.17E−14 67.74% G140100_k105_63976_4 25.00% 67.3958 1.19E−14 69.89% G104994_k105_63638_23 27.90% 67.3958 1.20E−14 67.74% ERR2017638_k103_35116_2 29.40% 67.0106 1.24E−14 75.27% G36366_k105_22517_35 26.70% 67.3958 1.30E−14 69.53% ERR2017660_k103_41592_2 29.50% 67.3958 1.31E−14 77.78% G48819_k105_13887_2 28.00% 67.3958 1.32E−14 67.38% ERR2017673_k103_59386_3 30.50% 67.0106 1.35E−14 66.67% ERR2017614_k103_125466_62 30.00% 67.3958 1.35E−14 67.74% G140138_k105_50244_2 28.80% 67.3958 1.36E−14 69.53% G104950_k105_3862_20 28.20% 67.3958 1.37E−14 67.03% G105108_k105_50921_2 28.30% 66.6254 1.38E−14 66.67% PSM7J14L_R_k105_704_4 28.90% 67.3958 1.43E−14 68.82% ERR2017628_k103_39887_7 28.00% 67.3958 1.43E−14 66.31% G89019_k105_14772_6 32.10% 67.781 1.44E−14 67.03% G36387_k105_8183_4 28.60% 67.781 1.44E−14 67.74% G140185_k105_61550_6 30.50% 67.0106 1.48E−14 70.97% G36361_k105_13715_2 29.90% 67.0106 1.48E−14 66.67% MSM5LLEP_R_k105_12272_24 26.70% 67.3958 1.48E−14 69.53% G140137_k105_61767_2 26.90% 67.0106 1.55E−14 67.74% ERR2017519_k103_41937_3 30.50% 67.0106 1.63E−14 70.25% CSM9X222_R_k105_47383_2 27.50% 67.0106 1.63E−14 68.82% ERR2017613_k103_25741_2 31.40% 67.0106 1.69E−14 68.46% G72705_k105_28418_3 27.30% 67.0106 1.69E−14 79.57% CSM79HNE_R_k105_6917_14 26.80% 67.0106 1.70E−14 67.74% CSM5MCYS_R_k105_36307_2 28.10% 67.0106 1.78E−14 68.46% G48802_k105_52165_1 29.60% 67.0106 1.82E−14 68.46% G72711_k105_5691_12 29.20% 67.0106 1.84E−14 74.19% G141006_k105_82582_13 28.60% 67.3958 1.85E−14 68.46% G89136_k105_16579_1 28.80% 67.0106 1.89E−14 69.53% ERR2017519_k103_66316_3 24.40% 67.781 1.89E−14 92.83% ERR2017438_k93_36824_5 29.00% 66.6254 1.99E−14 68.82% ERR2017555_k103_48286_16 29.40% 67.3958 2.05E−14 68.46% G88838_k105_67115_10 28.00% 66.6254 2.09E−14 67.74% ERR2017605_k103_21352_6 27.60% 67.0106 2.09E−14 67.38% ERR2017592_k103_5824_6 27.50% 67.0106 2.09E−14 67.74% ERR2017713_k103_86273_10 30.80% 66.6254 2.15E−14 68.46% G105094_k105_35102_3 28.20% 66.6254 2.16E−14 68.46% G89065_k105_44762_8 27.10% 66.6254 2.19E−14 70.97% G140979_k105_3526_3 30.10% 66.6254 2.22E−14 47.31% G104913_k105_98027_2 29.10% 66.2402 2.24E−14 61.65% MSM9VZOS_R_k105_8640_5 29.40% 66.6254 2.31E−14 68.82% ERR2017446_k93_11340_6 28.60% 66.6254 2.31E−14 68.82% G89268_k105_36439_3 28.40% 66.6254 2.32E−14 67.38% G104980_k105_42184_2 27.70% 67.3958 2.32E−14 78.85% G139996_k105_1146_3 26.40% 66.6254 2.34E−14 67.74% ERR2017688_k103_105652_4 25.80% 67.0106 2.34E−14 67.74% ERR2017608_k103_2280_29 28.80% 66.6254 2.36E−14 74.91% HSM67VFX_P_R_k105_27767_1 26.90% 67.0106 2.36E−14 68.82% G105000_k105_18211_2 28.40% 66.6254 2.37E−14 69.18% G48807_k105_94506_2 30.80% 66.6254 2.41E−14 69.18% ERR2017568_k103_15909_14 28.30% 66.6254 2.41E−14 68.46% CSM7KOON_R_k105_20482_2 27.80% 66.6254 2.41E−14 68.46% G88744_k105_24353_3 32.10% 66.6254 2.42E−14 68.82% ERR2017637_k103_4812_2 28.60% 66.6254 2.51E−14 68.46% ERR2017693_k103_28111_10 27.60% 66.6254 2.51E−14 60.93% ERR2017569_k103_24093_16 29.80% 66.6254 2.56E−14 68.46% ERR2017541_k103_4721_8 33.50% 66.6254 2.61E−14 60.57% ERR2017735_k103_63910_58 29.50% 67.0106 2.70E−14 65.23% ERR2017589_k103_23068_7 28.20% 66.2402 2.73E−14 60.93% G140088_k105_77842_12 28.00% 66.6254 2.78E−14 68.10% G89089_k105_25643_13 27.70% 66.6254 2.80E−14 79.57% ERR2017611_k103_21696_6 29.10% 66.2402 2.91E−14 68.82% ERR2017674_k103_16236_43 27.90% 67.0106 2.91E−14 72.76% G140042_k105_46414_12 28.70% 66.2402 3.16E−14 68.46% ERR2017565_k103_10031_68 27.80% 66.2402 3.29E−14 68.46% PSM7J17B_R_k105_1479_2 29.70% 66.6254 3.30E−14 68.10% ERR2017688_k103_30300_14 30.40% 66.2402 3.32E−14 67.74% G105014_k105_14111_16 27.70% 66.2402 3.32E−14 68.46% G140946_k105_81243_2 30.30% 66.2402 3.41E−14 66.31% G88838_k105_56902_7 27.50% 66.2402 3.49E−14 67.74% G72701_k105_48495_35 30.30% 66.2402 3.52E−14 69.89% G89182_k105_96582_12 30.10% 66.2402 3.54E−14 68.82% G140022_k105_33871_24 26.40% 66.2402 3.63E−14 67.74% ERR2017667_k103_16253_3 31.80% 65.855 3.69E−14 68.82% G140127_k105_9689_199 27.10% 66.2402 3.82E−14 67.74% MSM5LLE3_P_R_k105_35315_1 28.90% 66.6254 3.83E−14 68.46% ERR2017653_k103_22656_6 28.60% 65.855 3.90E−14 68.82% G140127_k105_18896_4 26.30% 66.2402 3.90E−14 67.74% ERR2017631_k103_66813_3 29.90% 65.855 3.92E−14 66.67% ERR2017652_k103_5201_2 28.80% 65.855 3.94E−14 60.93% ERR2017675_k103_25515_3 29.90% 65.855 4.04E−14 66.67% G88755_k105_74875_2 28.30% 65.855 4.06E−14 68.46% G104898_k105_28751_2 28.40% 65.855 4.31E−14 70.97% G105053_k105_13898_1 26.10% 66.2402 4.32E−14 66.31% ERR2017543_k103_26347_9 28.90% 65.855 4.36E−14 67.74% ERR2017559_k103_39112_104 34.70% 65.855 4.51E−14 60.93% G48784_k105_9944_8 27.90% 65.855 4.52E−14 67.74% G140847_k105_40774_49 26.80% 65.855 4.57E−14 67.74% G48790_k105_15366_16 26.00% 66.2402 4.70E−14 90.68% ERR2017704_k103_50742_18 27.60% 65.855 4.81E−14 68.46% G104883_k105_8912_2 27.80% 65.855 4.86E−14 68.46% G140114_k105_14395_1 29.50% 65.4698 4.95E−14 68.46% G141126_k105_22068_1 30.10% 65.855 4.96E−14 67.74% CSM79HHM_R_k105_472_19 28.30% 65.855 5.16E−14 68.46% G140965_k105_53271_3 29.70% 65.855 5.27E−14 65.95% G141817_k105_62304_2 30.30% 65.4698 5.32E−14 46.95% ERR2017636_k103_10295_101 28.00% 65.4698 5.34E−14 70.25% G140079_k105_4434_2 28.60% 65.855 5.41E−14 74.55% G48817_k105_98126_1 27.30% 65.4698 5.51E−14 70.25% ERR2017450_k93_16033_43 33.90% 65.4698 5.57E−14 60.93% G36392_k105_10697_2 28.10% 65.855 5.65E−14 68.46% G88903_k105_18037_3 30.40% 65.4698 5.71E−14 68.10% G89256_k105_54395_10 29.40% 65.4698 5.80E−14 60.93% G140946_k105_95626_8 30.00% 65.855 5.89E−14 76.34% G36350_k105_10034_25 26.70% 65.4698 6.34E−14 68.82% G141071_k105_26898_3 28.20% 65.4698 6.35E−14 77.78% ERR2017659_k103_28782_2 31.90% 65.855 6.41E−14 70.25% G72737_k105_22406_2 30.90% 65.4698 6.46E−14 68.46% G140075_k105_10623_8 29.30% 65.4698 6.46E−14 67.74% ERR2017713_k103_70887_3 28.90% 65.0846 6.47E−14 75.27% G89055_k105_26750_8 31.60% 65.0846 6.50E−14 64.16% ERR2017631_k103_80875_6 29.40% 65.0846 6.66E−14 66.67% ERR2017577_k103_40458_5 27.10% 65.4698 6.71E−14 68.46% ERR2017651_k103_46482_137 28.50% 65.4698 7.05E−14 68.10% G141040_k105_86346_4 26.80% 65.0846 7.31E−14 67.74% G140786_k105_9825_2 29.90% 65.4698 7.40E−14 70.25% G48838_k105_85766_11 32.10% 65.0846 7.53E−14 46.59% ERR2017639_k103_29376_7 27.10% 65.4698 7.70E−14 67.74% G48791_k105_121636_5 30.20% 65.4698 7.91E−14 75.99% ERR2017576_k103_81965_3 28.90% 65.0846 8.22E−14 75.27% G48812_k105_43678_116 28.90% 65.4698 8.24E−14 74.55% G105028_k105_17685_16 27.80% 65.0846 8.25E−14 68.46% G104872_k105_46453_1 29.70% 65.4698 8.35E−14 67.74% G48836_k105_7323_22 26.40% 65.0846 8.38E−14 62.72% G104895_k105_11498_1 26.30% 65.4698 8.42E−14 67.74% G36363_k105_53538_29 26.30% 65.4698 8.48E−14 67.74% ERR2017638_k103_24129_2 26.50% 65.0846 8.51E−14 68.82% G141819_k105_44854_4 30.50% 65.0846 8.57E−14 67.38% G140796_k105_31673_3 27.30% 65.0846 8.68E−14 68.46% ERR2017678_k103_147_33 25.80% 65.4698 8.93E−14 67.74% CSM79HGZ_R_k105_17914_6 27.50% 65.0846 9.12E−14 67.74% ERR2017659_k103_92981_6 32.50% 65.0846 9.46E−14 65.59% ERR2017681_k103_28529_33 26.90% 65.0846 9.47E−14 70.25% G140862_k105_20065_4 29.10% 65.0846 9.49E−14 70.25% ERR2017536_k103_10069_2 28.50% 65.0846 9.66E−14 67.74% G140775_k105_88713_2 32.70% 65.0846 9.82E−14 68.46% ERR2017637_k103_26213_3 31.90% 65.0846 9.84E−14 56.99% ERR2017653_k103_28720_3 28.90% 64.6994 9.85E−14 75.27% G139998_k105_34320_1 26.70% 65.0846 1.02E−13 70.61% G104969_k105_61463_1 33.00% 64.6994 1.03E−13 60.93% ERR2017461_k103_7903_2 26.00% 65.0846 1.07E−13 70.61% ERR2017692_k103_109873_2 30.10% 65.0846 1.10E−13 59.14% G48817_k105_2987_2 29.60% 64.6994 1.14E−13 69.18% G72683_k105_9408_11 29.10% 65.0846 1.22E−13 67.38% CSM79HHM_R_k105_36088_19 28.50% 64.6994 1.24E−13 67.74% G140078_k105_32068_1 27.20% 64.6994 1.26E−13 69.53% G48795_k105_91713_4 29.90% 64.6994 1.28E−13 68.10% G72710_k105_18110_6 28.50% 64.6994 1.28E−13 68.46% G88934_k105_4632_1 30.40% 65.0846 1.29E−13 67.38% ERR2017617_k103_31111_16 28.90% 64.6994 1.29E−13 69.18% G140849_k105_11260_1 27.60% 64.6994 1.30E−13 75.99% G48792_k105_56706_8 34.40% 64.3142 1.33E−13 50.18% ERR2017643_k103_21045_3 29.90% 64.3142 1.36E−13 66.67% G140880_k105_14667_6 30.80% 64.6994 1.44E−13 68.46% G141051_k105_53943_5 29.70% 64.3142 1.50E−13 67.74% ERR2017577_k103_95564_183 28.40% 64.6994 1.50E−13 70.97% G104829_k105_19574_4 24.50% 64.6994 1.50E−13 67.03% G72716_k105_58865_1 27.00% 64.3142 1.52E−13 70.25% G48790_k105_79570_10 26.40% 64.3142 1.52E−13 67.74% G140117_k105_32740_229 29.50% 64.3142 1.55E−13 67.74% G48841_k105_34449_26 26.80% 64.6994 1.56E−13 67.74% G141086_k105_13808_5 28.00% 64.3142 1.58E−13 62.72% ERR2017620_k103_12629_42 29.90% 63.929 1.59E−13 66.67% G48792_k105_104872_5 29.60% 64.6994 1.65E−13 60.57% G48806_k105_24850_2 30.40% 63.929 1.66E−13 69.53% MSM79HAL_R_k105_20354_2 27.60% 64.3142 1.72E−13 68.46% G72703_k105_4320_10 31.30% 64.3142 1.73E−13 65.95% ERR2017586_k103_14953_3 28.40% 64.3142 1.73E−13 70.97% ERR2017662_k103_81113_1 28.40% 63.929 1.74E−13 75.27% MSMAPC5Z_R_k105_34057_2 29.60% 64.6994 1.78E−13 68.46% MSM9VZHZ_R_k105_22248_2 24.40% 64.6994 1.83E−13 68.82% G72731_k105_38163_7 30.10% 64.3142 1.85E−13 68.82% G48790_k105_1358_34 26.60% 64.3142 1.85E−13 68.46% ERR2017699_k103_20019_15 28.20% 64.3142 1.87E−13 70.61% G48807_k105_7616_4 31.50% 64.3142 1.90E−13 50.90% MSM9VZF7_R_k105_23695_1 30.10% 63.929 1.92E−13 68.46% G88951_k105_394_1 27.40% 64.3142 1.92E−13 67.38% ERR2017680_k103_8033_36 31.40% 62.7734 1.99E−13 59.14% ERR2017606_k103_18959_5 30.60% 65.855 1.99E−13 65.59% G140783_k105_11631_1 26.20% 63.929 1.99E−13 67.74% G140202_k105_54624_7 26.00% 64.3142 2.11E−13 68.10% ERR2017618_k103_15195_6 29.40% 63.929 2.13E−13 66.67% G48820_k105_6957_2 30.40% 63.929 2.22E−13 68.10% G36370_k105_6682_2 28.90% 63.929 2.33E−13 67.74% G140189_k105_25030_2 29.80% 63.929 2.40E−13 70.25% ERR2017725_k103_15488_3 29.50% 63.929 2.57E−13 67.74% ERR2017662_k103_110809_1 29.40% 63.5438 2.57E−13 66.67% G89166_k105_51839_1 24.40% 63.929 2.61E−13 68.82% ESM718V8_R_k105_13178_2 27.30% 63.929 2.68E−13 68.46% ERR2017631_k103_380_1 28.90% 63.5438 2.76E−13 66.67% G104823_k105_64038_2 26.70% 63.929 2.79E−13 66.31% ERR2017678_k103_13064_34 27.50% 64.3142 2.96E−13 72.40% G104923_k105_10415_2 32.50% 63.5438 3.00E−13 68.46% G36389_k105_24519_21 27.50% 63.5438 3.05E−13 67.38% ERR2017598_k103_141262_71 29.40% 63.1586 3.08E−13 66.67% HSM5MD57_P_R_k105_32686_3 28.90% 63.5438 3.11E−13 67.74% G48832_k105_34431_20 26.20% 63.5438 3.15E−13 69.53% G140911_k105_458_16 28.60% 63.5438 3.23E−13 70.97% G36374_k105_21299_5 26.60% 63.5438 3.26E−13 70.61% G48839_k105_14226_103 26.10% 63.5438 3.26E−13 70.61% ERR2017458_k93_57576_38 25.80% 63.929 3.26E−13 67.74% G48784_k105_52712_3 26.40% 63.929 3.33E−13 72.40% G140853_k105_22916_3 29.70% 63.1586 3.37E−13 75.27% G140819_k105_73793_3 27.80% 63.5438 3.38E−13 68.46% HSM6XRQB_P_R_k105_41921_5 28.80% 63.1586 3.53E−13 68.10% ERR2017535_k103_25292_2 25.30% 63.5438 3.54E−13 67.74% G140002_k105_45903_3 28.80% 63.5438 3.59E−13 60.93% ERR2017614_k103_14363_1 29.40% 63.1586 3.61E−13 66.67% G141012_k105_35467_1 29.30% 63.5438 3.66E−13 75.99% ESM5MEB7_R_k105_42582_2 27.10% 63.5438 3.68E−13 62.01% G88975_k105_41619_1 26.30% 63.5438 3.75E−13 67.74% G72679_k105_14370_2 28.60% 63.5438 3.82E−13 68.46% G105040_k105_71789_8 26.00% 63.1586 3.83E−13 70.97% G88707_k105_59840_1 26.10% 63.1586 4.07E−13 68.46% G48839_k105_64127_10 25.30% 63.5438 4.11E−13 67.74% G139962_k105_48290_10 29.50% 63.1586 4.15E−13 67.74% G140027_k105_19655_2 27.00% 63.5438 4.15E−13 63.80% G48823_k105_101998_3 28.20% 63.5438 4.44E−13 63.80% G48791_k105_10965_35 28.00% 63.1586 4.48E−13 67.74% G140186_k105_34309_1 26.30% 63.5438 4.62E−13 67.74% G141007_k105_3760_2 29.80% 62.7734 4.65E−13 67.03% G36356_k105_13466_28 28.90% 63.1586 4.72E−13 62.01% G141125_k105_66799_2 27.60% 63.1586 4.82E−13 68.46% ERR2017618_k103_3529_14 26.90% 63.1586 4.84E−13 66.31% ERR2017726_k103_22993_21 28.40% 62.7734 4.87E−13 75.27% ERR2017531_k103_7122_8 26.60% 63.1586 4.90E−13 67.74% G139982_k105_54160_2 29.00% 63.5438 4.93E−13 69.53% G105008_k105_5991_3 28.70% 63.1586 4.93E−13 70.25% ERR2017549_k103_76007_8 31.70% 61.2326 5.00E−13 44.09% G36370_k105_8751_39 27.40% 62.7734 5.05E−13 69.18% G48812_k105_9194_1 25.80% 63.1586 5.07E−13 67.74% G105065_k105_8237_9 30.00% 62.7734 5.26E−13 70.61% G105114_k105_10366_5 29.20% 62.7734 5.45E−13 67.38% G104998_k105_7853_4 25.30% 63.1586 5.48E−13 67.74% CSM5MCXB_P_R_k105_12902_1 27.80% 63.5438 5.51E−13 67.74% CSM79HNI_R_k105_11987_6 28.30% 62.7734 5.69E−13 70.61% MSM79H5E_R_k105_58710_2 26.30% 63.1586 5.82E−13 67.74% ERR2017662_k103_81106_1 28.40% 62.3882 5.94E−13 75.27% ERR2017674_k103_7838_14 28.00% 62.3882 6.06E−13 75.27% ERR2017574_k103_35057_3 26.50% 62.7734 6.34E−13 69.18% ERR2017556_k103_84623_2 28.60% 62.7734 6.39E−13 68.46% ERR2017632_k103_98480_2 25.80% 62.7734 6.45E−13 67.74% ERR2017574_k103_62596_22 34.10% 62.3882 6.75E−13 60.93% ERR2017637_k103_21547_28 31.90% 62.7734 6.89E−13 70.25% ERR2017467_k103_104261_6 29.60% 62.7734 6.99E−13 68.46% G48820_k105_8920_170 28.90% 62.7734 7.09E−13 67.74% G104860_k105_1317_1 29.00% 62.7734 7.18E−13 71.33% ERR2017611_k103_90975_57 26.30% 62.7734 7.46E−13 66.31% ERR2017674_k103_6521_19 28.80% 62.7734 7.54E−13 68.10% G141011_k105_467_27 27.70% 63.1586 7.66E−13 75.63% ERR2017441_k93_27946_2 28.60% 62.003 7.67E−13 75.63% G140198_k105_262_3 25.20% 62.3882 7.95E−13 90.68% PSM7J14L_R_k105_3955_127 27.80% 62.3882 8.06E−13 68.82% ERR2017686_k103_43877_2 28.20% 62.3882 8.25E−13 74.19% G36392_k105_20560_5 28.50% 62.3882 8.26E−13 68.46% ERR2017686_k103_101137_91 28.40% 62.3882 8.37E−13 67.74% ERR2017624_k103_39429_3 29.40% 62.003 8.41E−13 66.67% ERR2017568_k103_24746_3 28.30% 62.3882 8.48E−13 66.67% G141083_k105_30428_2 30.00% 62.003 8.56E−13 70.61% G72690_k105_124636_5 25.80% 62.3882 8.56E−13 67.74% G72697_k105_51499_3 26.60% 62.3882 8.65E−13 68.46% ERR2017581_k103_89684_63 26.40% 62.3882 8.73E−13 67.74% G140884_k105_11480_2 26.30% 62.3882 8.99E−13 68.46% G48821_k105_15594_4 25.10% 62.7734 9.93E−13 69.53% G48812_k105_101265_1 29.10% 62.3882 1.02E−12 58.78% ERR2017686_k103_5648_20 27.50% 62.7734 1.02E−12 67.38% G140010_k105_57289_12 26.60% 62.3882 1.02E−12 67.74% G140867_k105_3347_4 26.90% 62.003 1.08E−12 66.67% HSM5MD53_R_k105_11106_11 31.10% 62.003 1.11E−12 67.74% G141071_k105_30476_1 30.50% 62.3882 1.11E−12 67.74% ERR2017555_k103_75266_3 28.80% 62.003 1.11E−12 60.93% G104893_k105_24944_2 27.80% 62.003 1.11E−12 67.74% G48792_k105_85120_7 26.30% 62.3882 1.11E−12 67.74% HSM5MD53_R_k105_19189_16 27.60% 62.7734 1.12E−12 60.22% G141037_k105_61614_10 26.30% 62.003 1.12E−12 67.74% G88899_k105_40262_4 28.60% 62.003 1.13E−12 68.46% G89065_k105_134985_11 26.90% 62.3882 1.15E−12 74.91% G88829_k105_5139_1 23.20% 62.003 1.17E−12 69.18% G140926_k105_10107_1 29.00% 62.3882 1.19E−12 69.53% G36347_k105_11649_2 29.10% 62.003 1.22E−12 66.67% G48777_k105_54242_12 32.70% 61.6178 1.25E−12 55.56% ERR2017570_k103_17133_10 29.20% 62.003 1.25E−12 68.46% G89065_k105_33512_7 27.90% 62.003 1.25E−12 71.68% ERR2017462_k103_45511_1 27.80% 62.3882 1.25E−12 66.67% G140130_k105_47779_27 26.40% 62.003 1.26E−12 67.74% ERR2017622_k103_105984_114 26.30% 62.003 1.28E−12 67.74% G105099_k105_23001_18 27.10% 62.003 1.29E−12 67.74% G140864_k105_25432_3 28.60% 62.003 1.30E−12 68.46% G139953_k105_17905_48 27.80% 62.003 1.31E−12 67.74% G88780_k105_30102_8 29.60% 62.7734 1.33E−12 69.18% ERR2017491_k103_92668_8 28.10% 61.6178 1.34E−12 68.10% G140758_k105_38294_2 24.30% 62.003 1.38E−12 87.46% MSM9VZLN_R_k105_76387_12 28.00% 62.003 1.43E−12 75.99% G140795_k105_25218_3 29.20% 61.6178 1.46E−12 67.74% MSM79H94_P_R_k105_23487_3 26.60% 61.6178 1.47E−12 68.46% CSM7KOLK_R_k105_38324_1 25.80% 62.003 1.48E−12 67.74% G104945_k105_62722_14 35.30% 61.2326 1.49E−12 41.58% ERR2017529_k103_2513_47 25.80% 62.003 1.50E−12 67.74% ERR2017545_k103_66522_9 29.30% 61.6178 1.53E−12 68.10% G140964_k105_18777_11 27.60% 61.6178 1.58E−12 70.97% ERR2017614_k103_31226_117 27.60% 61.6178 1.58E−12 71.68% ERR2017627_k103_5191_9 30.50% 61.6178 1.59E−12 67.74% ERR2017641_k103_3944_2 28.60% 61.2326 1.59E−12 70.61% G48817_k105_109935_2 28.40% 62.3882 1.59E−12 65.95% CSM5MCX3_R_k105_2746_1 25.80% 61.6178 1.64E−12 67.74% G140884_k105_50467_11 26.60% 61.6178 1.74E−12 68.46% G141001_k105_25796_34 28.90% 61.6178 1.78E−12 70.25% G140805_k105_73579_1 28.60% 61.6178 1.78E−12 68.46% G140176_k105_5182_9 27.30% 62.003 1.81E−12 65.59% ERR2017540_k103_68543_4 28.10% 61.6178 1.84E−12 68.46% G105040_k105_42142_63 28.90% 61.6178 1.89E−12 69.18% G48780_k105_14908_2 24.70% 61.6178 1.90E−12 67.74% G104834_k105_41478_1 28.00% 61.2326 1.93E−12 75.27% MSM5LLHGP_R_k105_2772_35 26.10% 61.2326 2.04E−12 68.46% G140012_k105_92516_3 26.30% 61.6178 2.09E−12 67.74% G72708_k105_9332_30 31.50% 62.003 2.12E−12 62.01% ERR2017643_k103_29169_2 26.40% 61.6178 2.16E−12 72.40% G48821_k105_1104_134 25.80% 61.6178 2.18E−12 67.74% G140162_k105_65352_3 27.80% 61.2326 2.20E−12 65.59% ERR2017684_k103_39976_1 25.30% 61.6178 2.20E−12 67.74% G104973_k105_14346_2 25.80% 61.2326 2.33E−12 67.74% G48822_k105_6243_3 28.00% 61.6178 2.37E−12 66.31% ERR2017674_k103_16808_6 27.80% 61.2326 2.37E−12 67.74% G36361_k105_7007_9 28.40% 60.8474 2.38E−12 75.27% G140027_k105_44962_7 26.20% 61.2326 2.38E−12 69.53% G48784_k105_134757_2 25.90% 60.8474 2.41E−12 67.38% ERR2017564_k103_78038_2 28.60% 61.2326 2.42E−12 68.46% G140996_k105_18907_1 27.80% 61.2326 2.42E−12 67.74% ERR2017650_k103_99395_4 29.40% 60.8474 2.50E−12 60.93% MSM5ZOJY_P_R_k105_33180_2 27.00% 60.8474 2.50E−12 67.38% CSM79HQB_R_k105_43407_16 29.10% 61.2326 2.59E−12 68.46% G72676_k105_18744_53 30.20% 60.8474 2.62E−12 68.46% CSM67UAU_R_k105_11488_13 29.10% 61.2326 2.62E−12 68.46% G140954_k105_94671_2 27.10% 60.8474 2.70E−12 60.93% MSM5LLF4_R_k105_25657_4 30.20% 61.2326 2.81E−12 68.46% HSMA33KS_R_k105_5109_4 27.00% 60.8474 3.03E−12 67.74% G105057_k105_67836_12 28.90% 60.8474 3.08E−12 62.01% ERR2017624_k103_11821_2 27.70% 60.8474 3.12E−12 59.86% G141100_k105_58729_3 25.30% 60.8474 3.34E−12 67.74% ERR2017532_k103_111285_139 27.40% 60.8474 3.38E−12 69.18% ERR2017554_k103_9322_8 29.30% 60.4622 3.43E−12 47.31% G36350_k105_22840_9 26.40% 60.4622 3.44E−12 68.46% PSM7J14L_R_k105_1274_57 29.90% 60.8474 3.47E−12 69.18% ERR2017619_k103_60835_2 29.20% 60.8474 3.65E−12 68.46% G140880_k105_25835_2 29.20% 60.4622 3.69E−12 68.82% ERR2017720_k103_279_5 27.20% 60.077 3.86E−12 75.63% G140808_k105_19783_1 26.60% 60.8474 3.90E−12 67.74% G104834_k105_65261_6 28.30% 60.4622 4.04E−12 67.74% ERR2017606_k103_18959_5 28.30% 62.003 4.11E−12 62.01% HSM5MD4B_P_R_k105_8794_2 29.20% 60.4622 4.34E−12 68.46% G48817_k105_52454_2 27.00% 60.4622 4.37E−12 67.38% ERR2017522_k103_4715_2 26.70% 60.4622 4.39E−12 68.46% G89089_k105_4922_3 25.30% 60.4622 4.39E−12 67.74% G104926_k105_37453_1 27.10% 60.4622 4.48E−12 67.74% G88892_k105_8741_4 25.50% 60.4622 4.51E−12 90.68% MSM5LLE3_P_R_k105_3198_2 25.30% 60.4622 4.52E−12 67.74% G88845_k105_5494_1 26.50% 60.077 4.54E−12 67.38% G89074_k105_22024_1 24.70% 60.8474 4.57E−12 91.40% G140845_k105_90412_3 24.20% 60.8474 4.62E−12 88.53% G48820_k105_13922_236 25.90% 60.8474 4.76E−12 60.22% G72733_k105_12944_3 27.10% 60.4622 4.84E−12 67.74% ERR2017413_k93_8044_86 27.10% 60.4622 4.93E−12 67.74% G140893_k105_29308_2 27.30% 60.077 4.99E−12 67.74% G89089_k105_38776_4 27.70% 60.077 5.20E−12 68.46% G105059_k105_1027_2 27.30% 60.077 5.29E−12 67.74% G88962_k105_36994_4 26.80% 60.077 5.50E−12 67.74% ERR2017626_k103_17966_3 26.90% 60.077 5.55E−12 67.74% G48814_k105_11470_43 29.80% 60.4622 5.59E−12 66.67% G141820_k105_1664_7 27.10% 60.077 5.76E−12 67.74% G88975_k105_91712_4 30.20% 60.077 5.78E−12 68.46% ERR2017495_k79_53186_2 28.30% 60.077 6.01E−12 67.03% G140163_k105_13531_17 28.20% 60.077 6.06E−12 67.74% G105035_k105_44000_30 27.30% 60.077 6.31E−12 67.74% ERR2017648_k103_43517_8 27.30% 60.077 6.31E−12 67.74% ERR2017576_k103_10527_2 27.30% 60.077 6.31E−12 67.74% ERR2017651_k103_23084_12 25.30% 60.4622 6.38E−12 67.74% ERR2017638_k103_20377_1 28.40% 60.077 6.46E−12 68.10% ERR2017628_k103_93284_1 28.00% 59.6918 6.57E−12 75.27% G88870_k105_21701_1 30.30% 58.5362 6.73E−12 50.90% G140180_k105_17929_2 27.40% 60.077 7.06E−12 62.01% ERR2017659_k103_111452_5 34.10% 59.6918 7.15E−12 43.73% HSM7J4QZ_R_k105_31837_2 25.30% 60.077 7.63E−12 67.74% ERR2017554_k103_14928_2 25.80% 59.6918 8.08E−12 67.74% G140770_k105_36016_5 28.30% 59.6918 8.14E−12 62.01% G88960_k105_14418_90 27.40% 59.6918 8.41E−12 62.01% G48820_k105_8566_54 30.50% 59.6918 8.52E−12 67.74% G88786_k105_57521_17 27.00% 60.077 8.53E−12 72.40% ERR2017579_k103_111919_81 27.30% 59.6918 8.66E−12 67.74% G104973_k105_24055_21 26.80% 59.6918 8.74E−12 67.74% G48795_k105_40107_2 29.20% 59.3066 9.17E−12 45.88% ERR2017626_k103_33873_3 25.90% 59.3066 9.43E−12 67.74% ERR2017576_k103_48025_66 27.90% 59.3066 9.50E−12 64.87% ERR2017658_k103_28160_2 27.90% 59.6918 9.53E−12 68.46% G48831_k105_35349_54 26.40% 59.6918 1.00E−11 67.74% G48791_k105_224813_2 29.10% 59.6918 1.05E−11 59.50% G48792_k105_106365_2 27.30% 59.3066 1.09E−11 67.38% G141113_k105_118013_6 25.30% 59.3066 1.09E−11 67.74% G105090_k105_15529_94 29.40% 59.6918 1.11E−11 60.22% PSMA265T_R_k105_40770_3 25.30% 59.3066 1.13E−11 67.74% G48817_k105_184091_4 26.00% 58.9214 1.16E−11 70.97% ERR2017698_k103_49777_6 30.00% 59.3066 1.18E−11 67.74% G140896_k105_63696_15 28.90% 58.9214 1.23E−11 66.31% G140753_k105_21915_5 28.90% 58.9214 1.23E−11 66.31% G72696_k105_6532_37 28.40% 59.3066 1.24E−11 68.10% G141050_k105_12742_2 29.80% 58.9214 1.25E−11 68.10% G140125_k105_53229_1 29.00% 58.9214 1.26E−11 71.33% HSM7CYZF_R_k105_11181_2 30.20% 58.9214 1.29E−11 68.82% ERR2017460_k93_22250_1 25.70% 59.3066 1.30E−11 67.74% ERR2017460_k93_5217_6 26.00% 59.3066 1.31E−11 62.01% MSM6J2HP_R_k105_26003_9 27.90% 58.5362 1.32E−11 60.57% ERR2017713_k103_3738_16 28.40% 59.3066 1.35E−11 67.03% G72705_k105_5088_76 30.20% 58.9214 1.39E−11 66.67% G139971_k105_23554_2 29.10% 59.3066 1.40E−11 67.38% G140062_k105_19280_1 24.20% 59.3066 1.43E−11 67.74% G105052_k105_26641_1 26.00% 58.9214 1.44E−11 62.01% ERR2017693_k103_2028_5 25.00% 58.9214 1.47E−11 76.70% G139954_k105_43288_2 28.50% 58.9214 1.48E−11 70.61% G140099_k105_49983_2 26.00% 58.9214 1.48E−11 67.74% G140758_k105_498_2 26.50% 58.9214 1.49E−11 72.40% G140133_k105_11020_2 27.20% 58.9214 1.63E−11 69.53% G140922_k105_40896_2 27.80% 58.9214 1.65E−11 68.82% G72697_k105_88675_3 26.60% 58.9214 1.68E−11 67.74% G104914_k105_101352_13 26.70% 58.5362 1.71E−11 65.95% G88708_k105_510_1 35.60% 56.6102 1.73E−11 36.92% G36350_k105_2049_35 29.20% 58.5362 1.81E−11 60.93% G88910_k105_83216_3 28.10% 58.5362 1.86E−11 68.46% ERR2017519_k103_1064_28 25.70% 58.5362 1.88E−11 68.10% G141016_k105_90141_1 26.20% 58.9214 1.94E−11 67.74% G140043_k105_39728_24 26.90% 58.5362 1.95E−11 67.74% G88869_k105_4784_2 25.30% 58.5362 2.14E−11 67.74% G48807_k105_125840_2 27.60% 58.5362 2.18E−11 67.74% MSM79HF7_R_k105_56275_7 25.30% 58.5362 2.18E−11 67.74% G141819_k105_8524_2 30.50% 58.5362 2.19E−11 68.10% G104910_k105_55912_2 28.00% 57.3806 2.26E−11 45.88% ERR2017462_k103_108422_2 26.40% 58.5362 2.29E−11 67.74% ERR2017541_k103_60115_6 28.40% 58.5362 2.32E−11 66.67% ERR2017631_k103_13007_10 29.60% 58.5362 2.33E−11 69.18% G140771_k105_65449_1 29.30% 58.151 2.36E−11 60.93% PSM7J161_R_k105_6805_14 27.40% 58.151 2.48E−11 68.46% G88881_k105_12287_8 25.30% 58.5362 2.50E−11 67.74% G48780_k105_9281_60 32.70% 57.7658 2.55E−11 36.92% HSMA33KQ_R_k105_3667_2 26.30% 58.5362 2.60E−11 67.74% G105040_k105_25904_18 31.00% 58.151 2.71E−11 69.89% ERR2017530_k103_41367_4 29.60% 58.151 2.76E−11 44.09% PSM7J12J_R_k105_5405_1 26.80% 58.151 2.80E−11 67.74% G48787_k105_123364_2 25.50% 58.151 2.88E−11 67.74% G141007_k105_11427_62 26.30% 58.151 2.90E−11 67.74% ERR2017651_k103_285_5 27.70% 58.151 2.95E−11 67.74% G140848_k105_69541_3 25.30% 58.151 2.99E−11 67.74% G48819_k105_14733_12 28.70% 58.151 3.11E−11 68.46% G104977_k105_77974_2 29.40% 58.151 3.15E−11 67.74% G48791_k105_6352_2 29.90% 58.151 3.22E−11 61.65% G48821_k105_1926_9 26.30% 58.151 3.26E−11 67.74% G140829_k105_55892_2 26.80% 58.151 3.30E−11 67.74% G104871_k105_77635_8 25.40% 57.7658 3.30E−11 67.74% ERR2017694_k103_130139_10 25.90% 57.7658 3.46E−11 67.74% G105069_k105_35867_2 33.30% 57.3806 3.51E−11 39.43% G104945_k105_16762_21 25.00% 58.151 3.52E−11 69.53% ERR2017634_k103_114035_2 24.70% 58.151 3.59E−11 67.74% ERR2017574_k103_87688_6 24.50% 57.7658 3.66E−11 68.10% ERR2017627_k103_3363_35 29.70% 57.7658 3.67E−11 68.10% CSM67UEW_TR_R_k105_27826_2 26.00% 57.7658 3.73E−11 62.01% ERR2017460_k93_16182_3 25.50% 57.7658 3.77E−11 67.74% ERR2017696_k103_26704_7 24.70% 58.151 3.99E−11 67.74% ERR2017641_k103_93336_11 24.70% 57.7658 4.03E−11 67.74% G141056_k105_67185_1 27.80% 57.7658 4.15E−11 65.23% G140946_k105_73316_8 25.90% 57.7658 4.19E−11 67.74% G141002_k105_9813_5 26.30% 57.3806 4.75E−11 68.46% ERR2017454_k93_11122_1 26.80% 57.7658 4.79E−11 67.74% G140834_k105_17762_1 27.00% 57.7658 4.92E−11 65.59% G141013_k105_44163_3 25.80% 57.3806 5.02E−11 79.93% ERR2017564_k103_39580_13 27.20% 57.3806 5.03E−11 77.78% ERR2017434_k93_92272_8 26.70% 57.3806 5.03E−11 67.74% G88896_k105_43136_7 28.60% 57.3806 5.19E−11 68.46% G141014_k105_19866_163 25.90% 57.3806 5.22E−11 68.10% G140884_k105_48512_1 26.30% 57.3806 5.80E−11 67.74% ERR2017646_k103_86310_2 28.90% 56.9954 6.02E−11 67.74% G88872_k105_25872_1 25.40% 57.3806 6.25E−11 62.01% ERR2017468_k103_65700_23 26.80% 57.3806 6.34E−11 67.74% ERR2017570_k103_33081_67 24.70% 57.3806 6.42E−11 67.74% PSM7J12V_R_k105_8672_7 26.00% 56.9954 6.57E−11 67.74% ERR2017545_k103_29168_2 26.30% 55.8398 6.79E−11 61.29% ERR2017686_k103_93964_6 28.50% 56.9954 6.87E−11 50.18% G89146_k105_68058_13 26.60% 56.9954 6.87E−11 67.74% G141087_k105206502 26.00% 56.9954 6.87E−11 62.01% G48790_k105_187226_3 25.60% 56.9954 6.93E−11 66.67% G139987_k105_11001_9 25.70% 56.9954 7.27E−11 62.01% ERR2017629_k103_21994_3 24.70% 56.9954 7.34E−11 67.74% G140994_k105_55384_2 28.40% 57.3806 7.38E−11 71.33% G88882_k105_9670_1 24.70% 56.9954 7.41E−11 67.74% G140134_k105_88254_18 26.10% 56.9954 7.57E−11 62.01% ERR2017666_k103_7267_44 26.90% 56.9954 7.60E−11 66.67% G140031_k105_81237_3 24.50% 56.9954 7.60E−11 69.53% CSM79HNK_R_k105_14655_2 24.70% 56.9954 8.05E−11 67.74% ERR2017736_k103_95772_1 25.40% 56.9954 8.28E−11 62.01% G104973_k105_47504_1 29.80% 56.9954 8.39E−11 66.67% G104818_k105_45893_2 24.90% 56.9954 8.62E−11 62.01% HSM5MD5B_R_k105_31299_2 26.30% 56.9954 8.86E−11 67.74% G105093_k105_60548_9 25.50% 56.9954 8.87E−11 67.74% G141087_k105_37700_1 26.00% 56.6102 8.90E−11 67.74% ERR2017466_k103_22863_3 27.10% 56.6102 8.92E−11 67.74% G89182_k105_59201_11 26.00% 56.6102 9.16E−11 67.74% G89199_k105_12311_3 25.70% 56.6102 9.30E−11 62.01% ERR2017539_k103_8528_3 25.70% 56.6102 9.30E−11 62.01% ERR2017697_k103_1288_2 25.80% 56.6102 9.43E−11 67.74% G141094_k105_67169_2 25.10% 56.6102 1.01E−10 69.53% G104878_k105_15631_6 28.20% 56.6102 1.02E−10 61.29% G140000_k105_61667_2 25.70% 56.6102 1.08E−10 62.01% CSM79HM7_R_k105_44927_1 29.10% 56.6102 1.10E−10 75.99% G139992_k105_44197_6 24.70% 56.6102 1.11E−10 67.74% G48832_k105_14987_2 24.10% 56.6102 1.12E−10 69.53% PSM6XBTT_R_k105_52087_2 25.30% 56.6102 1.14E−10 63.80% G141086_k105_32575_2 28.40% 56.225 1.16E−10 79.21% G141818_k105_30919_10 25.70% 56.6102 1.21E−10 62.01% G48792_k105_157266_20 25.90% 56.225 1.22E−10 67.74% G140887_k105_14976_1 24.20% 56.225 1.22E−10 67.74% CSM67UAA_R_k105_7303_317 28.10% 56.6102 1.23E−10 74.91% G141056_k105_82494_6 25.50% 56.225 1.23E−10 67.74% G140175_k105_767_1 25.40% 56.225 1.37E−10 62.01% ERR2017549_k103_72053_5 26.40% 56.225 1.39E−10 67.74% ERR2017697_k103_52134_11 26.30% 56.225 1.40E−10 66.67% ERR2017476_k79_78595_6 24.20% 56.225 1.40E−10 67.74% G141000_k105_72969_1 24.90% 56.225 1.43E−10 69.53% PSM7J16F_R_k105_18438_2 25.40% 56.225 1.44E−10 62.01% ERR2017411_k93_31527_52 28.30% 56.225 1.45E−10 67.74% ERR2017581_k103_70168_14 28.40% 56.225 1.55E−10 65.95% ERR2017688_k103_101386_9 27.40% 56.225 1.57E−10 63.80% G72698_k105_10065_41 26.20% 56.6102 1.58E−10 68.10% G105079_k105_46371_3 25.80% 55.8398 1.66E−10 67.74% CSM5MCX3_R_k105_456_2 24.60% 55.8398 1.68E−10 69.53% PSM7J19R_R_k105_20839_1 25.40% 56.225 1.72E−10 62.01% ERR2017430_k93_8706_1 26.00% 55.8398 1.77E−10 67.74% G36352_k105_53533_16 33.00% 55.8398 1.85E−10 67.74% ERR2017605_k103_16380_2 24.90% 55.8398 1.85E−10 69.53% G139982_k105_60115_1 26.90% 55.8398 1.88E−10 67.74% G89108_k105_6460_20 26.80% 55.4546 1.92E−10 67.74% CSM7KORK_R_k105_41575_13 27.10% 56.225 1.93E−10 60.22% CSM67UAA_R_k105_7898_82 24.70% 55.8398 1.94E−10 67.74% MSM6J2LL_R_k105_43260_4 23.80% 55.8398 1.98E−10 67.74% ERR2017579_k103_138612_5 24.40% 55.8398 2.14E−10 69.53% G140109_k105_58927_1 24.60% 55.8398 2.15E−10 68.10% G139971_k105_108960_3 25.80% 55.8398 2.24E−10 67.74% ERR2017720_k103_2159_4 28.20% 55.4546 2.40E−10 50.90% G72675_k105_11974_26 27.10% 55.8398 2.48E−10 60.22% PSM7J15M_R_k105_1235_3 25.60% 55.4546 2.48E−10 67.74% MSM6J2MH_R_k105_18056_1 24.20% 55.4546 2.49E−10 67.74% G104984_k105_97839_1 28.90% 55.0694 2.52E−10 66.31% G139981_k105_75402_14 28.50% 55.4546 2.68E−10 84.59% G104941_k105_56765_2 27.60% 55.4546 2.69E−10 67.74% G141060_k105809042 25.30% 55.4546 2.77E−10 67.74% ERR2017564_k103_25576_75 25.30% 55.4546 2.77E−10 67.74% ERR2017541_k103_79773_14 24.30% 55.4546 2.78E−10 62.01% CSM79HJI_P_R_k105_17388_4 26.90% 55.4546 2.80E−10 62.01% ERR2017704_k103_111078_1 27.60% 55.0694 2.91E−10 68.82% G140963_k105_66302_2 30.70% 55.4546 2.93E−10 61.29% G72712_k105_9819_2 24.00% 55.4546 2.98E−10 69.53% ERR2017460_k93_13963_1 24.00% 55.4546 3.01E−10 69.53% G140911_k105_2500_6 27.20% 55.0694 3.10E−10 69.53% G48804_k105_2722_2 27.60% 55.0694  3.HE−10 66.67% MSM6J2LY_R_k105_12804_5 24.70% 55.0694 3.11E−10 67.74% G104819_k105_86833_7 29.50% 55.0694 3.22E−10 59.50% G88908_k105_27555_3 27.50% 55.0694 3.23E−10 46.59% MSM79H81_R_k105_2813_5 24.90% 55.0694 3.31E−10 67.74% PSM7J12V_R_k105_11226_13 26.40% 55.0694 3.43E−10 67.74% ERR2017489_k79_67320_1 24.70% 55.0694 3.46E−10 67.74% G48817_k105_96906_1 27.50% 54.6842 3.48E−10 68.10% G36378_k105_21568_3 26.70% 54.6842 3.48E−10 67.03% G140017_k105_63911_2 26.00% 55.0694 3.55E−10 67.74% ERR2017521_k103_127408_11 28.30% 54.6842 3.56E−10 66.67% ERR2017697_k103_62379_7 24.40% 55.0694 3.65E−10 67.74% ERR2017570_k103_12631_9 29.10% 54.6842 3.66E−10 67.38% G105055_k105_7528_7 28.50% 55.0694 3.91E−10 72.04% G89123_k105_8632_2 28.20% 54.6842 3.91E−10 60.57% G88927_k105_52848_2 24.90% 55.0694 3.91E−10 62.01% G104865_k105_31582_3 24.00% 54.6842 4.18E−10 69.53% MSM5ZOJY_P_R_k105_4664_23 29.70% 55.0694 4.25E−10 68.46% ERR2017662_k103_17459_1 24.90% 54.6842 4.26E−10 69.53% G36356_k105_71558_12 24.20% 54.6842 4.26E−10 67.74% PSM7J161_R_k105_6364_1 24.20% 54.6842 4.35E−10 67.74% ERR2017467_k103_84641_2 24.00% 54.6842 4.46E−10 69.53% G139981_k105_87138_2 25.40% 54.6842 4.48E−10 67.74% G140028_k105_55234_7 26.30% 54.6842 4.56E−10 62.01% G141128_k105_2740_4 24.90% 54.6842 4.58E−10 62.01% G139958_k105_15426_1 25.00% 54.6842 4.59E−10 87.46% ERR2017599_k103_65241_1 24.40% 54.6842 4.59E−10 69.53% G141119_k105_5509_2 26.00% 54.6842 4.71E−10 89.25% G140812_k105_93116_3 25.10% 54.6842 4.77E−10 75.99% ERR2017705_k103_70467_3 24.60% 54.6842 4.77E−10 67.74% G141111_k105_5045_1 25.50% 54.6842 4.82E−10 67.74% G141094_k105830472 25.00% 54.6842 5.30E−10 67.74% ERR2017619_k103_28417_9 29.10% 54.299 5.35E−10 52.69% G141047_k105_73005_3 27.70% 53.9138 5.57E−10 66.67% G141004_k105_14994_12 25.60% 54.299 5.71E−10 62.01% MSM5LLHG_P_R_k105_18354_11 25.50% 54.299 5.76E−10 67.74% ERR2017457_k93_25557_5 24.20% 54.299 5.94E−10 67.74% ERR2017605_k103_112193_5 25.80% 54.299 6.36E−10 67.74% HSM7J4NS_R_k105_64170_5 25.30% 54.299 6.74E−10 69.18% G72729_k105_121335_1 26.90% 54.299 6.87E−10 62.01% ERR2017468_k103_6496_2 25.50% 54.299 6.95E−10 67.74% G140887_k105_60859_3 29.20% 53.9138 7.17E−10 42.29% G104933_k105_101346_1 26.70% 53.9138 7.27E−10 67.74% G140899_k105_58156_2 27.10% 53.9138 7.42E−10 67.74% MSMA26EJ_R_k105_4692_1 24.10% 54.299 7.44E−10 69.53% HSM5MD6M_R_k105_982_5 24.20% 54.299 7.52E−10 67.74% G89252_k105_71026_2 24.60% 54.299 7.53E−10 63.80% G140096_k105_16087_10 24.90% 53.9138 7.70E−10 67.74% G140009_k105_42826_4 25.50% 53.9138 7.92E−10 67.74% G104946_k105_16056_29 25.50% 53.9138 8.00E−10 67.74% G89067_k105_38969_11 31.80% 53.9138 8.36E−10 60.57% G140807_k105_54983_2 29.50% 53.9138 8.89E−10 69.18% ERR2017586_k103_8649_6 23.80% 53.9138 8.92E−10 67.74% G88971_k105_7855_2 24.00% 53.9138 9.07E−10 69.53% G89146_k105_42388_2 28.80% 53.9138  9.HE−10 67.38% G141067_k105_5153_2 25.50% 53.9138 9.55E−10 67.74% CSM5MCUK_P_R_k105_30732_4 25.50% 53.5286 1.03E−09 67.74% PSM6XBTR_R_k105_22350_30 26.90% 53.5286 1.04E−09 67.38% G105001_k105_20123_2 24.40% 53.5286 1.04E−09 69.53% ERR2017731_k103_25150_2 24.40% 53.5286 1.04E−09 69.53% MSM5FZ9N_P_R_k105_3455_2 27.40% 53.5286 1.08E−09 68.10% ERR2017633_k103_35117_2 26.50% 53.9138 1.10E−09 60.22% ERR2017619_k103_10162_2 25.00% 53.5286 1.14E−09 67.74% G48838_k105_87654_2 22.80% 53.5286 1.14E−09 67.74% G48790_k105_4930_3 29.20% 52.373 1.15E−09 49.46% PSM7J14L_R_k105_3549_5 28.70% 53.5286 1.15E−09 62.37% G140002_k105_58409_2 24.40% 53.5286 1.22E−09 69.53% G140026_k105_32005_1 26.30% 53.1434 1.38E−09 69.53% G140845_k105_91673_1 28.90% 53.1434 1.41E−09 69.18% CSM79HOZ_R_k105_49806_2 28.20% 53.5286 1.45E−09 58.42% ERR2017482_k79_120774_45 24.20% 53.1434 1.49E−09 67.74% ERR2017660_k103_107940_2 31.40% 52.7582 1.83E−09 60.93% CSM5MCZD_R_k105_14716_4 24.40% 52.7582 1.91E−09 67.74% MSM79H9K_R_k105_1646_2 29.80% 52.7582 1.98E−09 68.46% ERR2017581_k103_88831_2 23.90% 52.7582 1.99E−09 69.53% G141010_k105_32004_3 27.40% 52.7582 2.00E−09 68.82% G104885_k105_4212_10 26.30% 52.7582 2.01E−09 67.74% ERR2017725_k103_33716_23 31.00% 52.7582 2.09E−09 51.61% G88797_k105_19320_2 35.50% 50.447 2.22E−09 33.33% ERR2017458_k93_2794_2 24.50% 52.7582 2.39E−09 67.74% G140963_k105_3708_2 34.10% 52.7582 2.40E−09 31.18% ERR2017540_k103_8816_2 28.00% 52.7582 2.45E−09 56.99% G72722_k105_58143_7 29.80% 52.373 2.52E−09 43.01% G48841_k105_1396_8 23.90% 52.373 2.80E−09 81.72% G48812_k105_53130_1 29.00% 52.7582 2.86E−09 54.84% ERR2017528_k103_60282_14 34.70% 50.447 3.01E−09 34.05% ERR2017533_k103_21325_9 30.10% 51.9878 3.10E−09 70.25% ERR2017454_k93_45104_2 29.50% 51.9878 3.12E−09 70.25% G141819_k105_10609_4 27.10% 51.9878 3.16E−09 69.89% G140839_k105_35220_4 27.60% 51.9878 3.28E−09 62.37% MSM79H81_R_k105_31273_4 26.70% 51.6026 3.50E−09 66.67% G141049_k105_10944_7 24.50% 51.9878 3.51E−09 67.74% ERR2017551_k103_22818_20 28.30% 51.9878 3.77E−09 68.10% ERR2017663_k103_15658_4 24.40% 51.9878 4.17E−09 69.53% G36347_k105_21670_29 25.80% 51.6026 4.18E−09 67.38% HSM5MD66_R_k105_22541_1 25.90% 52.373 4.20E−09 68.10% G105021_k105_94587_3 23.50% 51.9878 4.40E−09 69.53% G140929_k105_26270_2 23.50% 51.6026 4.82E−09 76.34% G48817_k105_42413_2 28.40% 51.2174 5.42E−09 68.82% HSM7CZ36_R_k105_4760_16 27.90% 51.2174 5.67E−09 68.10% G140761_k105_44585_1 23.90% 51.6026 5.74E−09 69.53% G105092_k105_29528_1 23.80% 51.2174 5.88E−09 67.74% G139962_k105_59841_2 27.20% 51.9878 6.06E−09 68.10% G139981_k105_10447_2 38.20% 48.9062 6.28E−09 31.90% G36369_k105_23328_1 25.40% 51.2174 6.73E−09 66.67% MSM5LLGD_P_R_k105_10400_3 26.90% 51.2174 7.28E−09 59.86% G139999_k105_27221_4 28.60% 51.2174 8.21E−09 49.82% G48802_k105_5208_71 29.00% 50.8322 8.54E−09 60.22% MSM5FZ9N_P_R_k105_31088_3 35.10% 50.8322 8.57E−09 34.77% G48817_k105_145263_2 26.20% 50.447 8.71E−09 59.50% ERR2017449_k93_76238_3 27.90% 50.8322 9.63E−09 65.95% CSM67UAA_R_k105_11802_63 25.50% 50.8322 1.03E−08 82.08% G141093_k105_17600_1 28.60% 50.447 1.17E−08 74.55% G140833_k105_44672_2 23.50% 50.447 1.32E−08 69.53% G36385_k105_789_3 31.20% 50.447 1.33E−08 49.82% ERR2017519_k103_29366_2 28.50% 50.0618 1.37E−08 68.46% CSM79HNI_R_k105_32627_11 27.00% 50.0618 1.40E−08 66.67% G36372_k105_15897_3 27.80% 50.0618 1.42E−08 68.82% CSM5MCUC_P_R_k105_28589_3 32.10% 50.0618 1.53E−08 45.52% G88888_k105_15847_5 31.20% 49.2914 2.51E−08 60.93% G48840_k105_54194_2 27.90% 49.6766 2.61E−08 49.82% G140976_k105_46880_6 31.50% 47.3654 2.71E−08 32.97% G48817_k105_32541_37 33.30% 47.3654 2.88E−08 43.01% ESM718V8_R_k105_32821_1 27.10% 48.9062 3.32E−08 50.90% ERR2017617_k103_41720_5 25.70% 48.9062 3.89E−08 60.93% PSM7J15A_R_k105_38110_2 35.10% 48.9062 4.11E−08 34.77% G48820_k105_15464_23 31.50% 46.2098 5.21E−08 31.90% ERR2017475_k79_17860_3 27.20% 48.1358 5.94E−08 65.95% G105029_k105_87332_1 32.60% 46.595 7.56E−08 32.97% ERR2017592_k103_10557_6 26.20% 47.7506 8.03E−08 67.74% G104825_k105_87732_1 24.90% 47.3654 9.19E−08 73.84% G72728_k105_18244_1 29.80% 47.3654 1.17E−07 63.44% CSM67UEI_R_k105_6374_31 29.60% 47.3654 1.29E−07 49.46% MSM79H87_R_k105_25507_1 28.90% 46.9802 1.33E−07 43.01% ERR2017577_k103_97291_2 27.30% 47.3654 1.33E−07 39.07% G89185_k105_33406_4 31.50% 47.3654 1.47E−07 38.71% G105094_k105_75363_1 31.50% 47.3654 1.50E−07 38.71% G36375_k105_12579_7 24.20% 46.2098 2.90E−07 67.74% G89185_k105_61177_1 28.50% 44.669 3.82E−07 45.52% G139999_k105_69212_4 26.40% 45.8246 3.96E−07 68.10% ERR2017602_k103_62451_1 26.80% 45.4394 4.39E−07 50.18% G140001_k105_81535_1 31.90% 42.743 8.01E−07 32.62% G89065_k105_45479_45 30.70% 44.669 9.34E−07 45.16% G140887_k105_44653_5 30.60% 44.669 1.09E−06 38.71% ERR2017580_k103_44400_2 33.30% 41.9726 1.37E−06 34.77% G48819_k105_1753_164 28.40% 42.3578 1.56E−06 41.58% MSM5LLH2_P_R_k105_885_16 26.70% 42.743 3.62E−06 46.95% G140994_k105_16303_2 24.80% 42.743 3.90E−06 41.22% G36387_k105_11202_1 35.20% 40.817 4.32E−06 32.62% G105079_k105_29139_2 31.30% 42.743 4.56E−06 35.48% G104949_k105_52018_2 27.50% 41.5874 4.61E−06 49.82% G36356_k105_43864_15 25.00% 42.743 4.69E−06 57.35% ERR2017540_k103_42745_1 30.10% 40.817 5.05E−06 35.84% G105024_k105_41543_4 27.70% 40.4318 5.37E−06 33.69% ERR2017613_k103_40340_1 31.30% 40.0466 8.21E−06 33.33% ERR2017598_k103_113995_3 28.90% 40.4318 8.51E−06 34.41% MSM79HAJ_R_k105_37312_4 32.20% 41.9726 8.97E−06 31.90% ERR2017534_k103_104387_3 29.90% 41.2022 9.90E−06 31.18% G89185_k105_33406_4 35.40% 41.5874 1.02E−05 27.96% G140997_k105_35665_5 28.50% 39.6614 1.53E−05 40.50% G140887_k105_44653_5 35.40% 40.817 2.01E−05 27.96% G48790_k105_60374_4 38.20% 37.7354 4.34E−05 24.37% G140776_k105_17588_1 35.50% 38.891 5.92E−05 21.86% ERR2017681_k103_2642_3 27.10% 38.891 6.26E−05 58.78% ERR2017716_k103_34026_6 27.90% 38.891 7.42E−05 69.89% G140139_k105_54286_26 37.60% 38.891 8.27E−05 32.97% ERR2017652_k103_98787_1 32.10% 36.5798 9.69E−05 30.11% ERR2017644_k103_67649_37 26.60% 38.1206 1.07E−04 69.89% G140123_k105_32078_1 31.00% 37.3502 1.12E−04 29.75% HSM5MD53_R_k105_1522_8 28.90% 36.965 1.22E−04 34.77% G104937_k105_52467_1 37.30% 36.965 1.29E−04 21.86% ERR2017697_k103_36639_1 43.80% 36.1946 1.81E−04 17.20% G104886_k105_52538_2 27.60% 36.965 2.48E−04 31.18% ERR2017703_k103_30121_38 40.00% 37.3502 2.86E−04 14.34% ERR2017631_k103_68539_5 27.00% 36.965 2.87E−04 53.76% G140771_k105_40685_1 21.90% 36.965 3.16E−04 67.74% G105094_k105_75363_1 33.30% 36.965 3.40E−04 27.60% G140933_k105_12475_3 32.20% 36.5798 4.84E−04 31.18% G140776_k105_17588_1 29.20% 35.8094 6.25E−04 31.54% G36363_k105_20747_22 25.90% 35.4242 8.33E−04 60.93% G88749_k105_59786_2 37.00% 33.8834 1.97E−03 26.16% HSM7CZ1C_R_k105_20468_2 30.80% 32.3426 2.28E−03 31.18% G48790_k105_120264_12 27.60% 33.8834 2.29E−03 31.18% G89054_k105_1721_14 23.80% 33.4982 3.53E−03 60.93% ERR2017638_k103_84845_5 23.30% 33.4982 3.55E−03 60.93% CSM7KOS7_R_k105_6489_46 30.40% 32.7278 6.12E−03 44.80% ERR2017587_k103_55676_25 27.00% 32.7278 6.57E−03 67.38% G72722_k105_89343_1 23.00% 32.3426 7.55E−03 31.18% G88838_k105_81324_2 26.40% 30.8018 2.71E−02 31.18% G141119_k105_18175_1 23.30% 29.6462 4.21E−02 31.90% MSM9VZIY_R_k105_2858_10 45.70% 29.261 4.24E−02 12.19%

The COR homologs Applicants characterized in vitro represent the most prevalent homologs found in all of the datasets, with CORs previously binned into co-abundant gene groups (CAGs), i.e., microbial species that lacked cultured respresentatives and were only identified in gut microbiome assemblies, CAG:180, CAG:251, CAG:341, and CAG:217 being the most prevalent in all six cohorts, albeit at different levels (FIG. 2B). One other homolog that was not characterized experimentally above, ERR2017598_k103_131885_26, was found to be prevalently encoded specifically in the gut microbiomes from the two Dutch cohorts (>10% cor+ samples), which suggests that some underlying country specific factors might be driving colonization with different cor+ bacteria. Notably, one of the cor genes that were identified in 4 samples, G88790_k105_50573 1, showed a high sequence similarity to the E. coprostanoligenes cor gene (ECOP170) with 98.7% DNA and 99.2% AA similarity (11 bp and 2AA differences, respectively), while another ˜400 E. coprostanoligenes genes showed strong homology to other genes from the assembled gene catalogue (FIG. 8A). This only partial recovery of E. coprostanoligenes genes through metagenomic assembly suggest that it is a low abundant and rare species in human populations. To further validate its presence in the 4 samples encoding the E. coprostanoligenes COR homolog, Applicants mapped their gut metagenomes to the assembled gene catalogue that was augmented with E. coprostanoligenes genes and detected 85-90% of E. coprostanoligenes genes in 3 samples (FIG. 8B). Between these samples, 1344 and 104 E. coprostanoligenes genes were commonly detected and undetected out of the genes in the E. coprostanoligenes genome (FIG. 8C, 8D). Altogether this indicates that E. coprostanoligenes is a rare human-associated cor+ microbe (3 of 3,142 samples, 0.095% of samples) of whose human-associated strains are distinct from the hog sewage lagoon isolate.

The remaining 24 cor genes that were detected in 99% of cor+ microbiomes could not be mapped back to any publicly available microbial reference genome. In order to determine the organisms encoding them, Applicants binned the assembled metagenomes into metagenomic species (MSPs) using MSPminer²⁶. With this approach, 18 of the 25 homologs were successfully assigned to individual MSPs. Similarity based annotation of these organisms to a species level using a comprehensive collection of microbial isolates published to date was unsuccessful, suggesting that most cholesterol-metabolizing human gut bacteria are indeed novel and previously uncharacterized. To aid in taxonomic annotation, Applicants compared phylogenetic distance between these species and known isolates using a set of single copy marker genes (PhyloPhlAn²⁷). In the bacterial tree of life, the 18 COR encoding MSPs and E. coprostanoligenes form a coherent Glade that phylogenetically neighbors with Clostridium cluster IV, which includes species such as Faecalibacterium prausnitzii, and Ruminococcus bromii (FIG. 3). This group of organisms possesses metabolic capabilities that are linked to host health, including butyrate production.²⁸

Understanding the other genes involved in coprostanol formation may help us learn more about how this metabolic pathway works and what roles it might serve in gut bacteria. Since it is common for genes involved in the same metabolic pathway to be co-localized within a bacterial genome, Applicants wanted to determine if there is a conserved coprostanol biosynthetic operon across the cor+ metagenomic species. To identify conserved genetic elements neighboring the cor genes, Applicants assembled contigs containing each unique cor gene from the stool metagenomes previously found to have the highest abundance of the desired metagenomics species. ORFs were called on these contigs and neighboring genes were identified. The most common gene directly downstream of the cholesterol oxidoreductase gene encodes an uncharacterized MFS transporter (14/18 msps). Because this family of transporters is used in bile acid metabolism, Applicants hypothesize this gene plays a role in cholesterol transport.²⁹ None of the other neighboring genes are conserved in all of the metagenomics species, nor do they encode enzymes with the catalytic capabilities needed to perform transformations on cholesterol or related molecules, which suggests a lack of a conserved coprostanol biosynthetic operon. This finding is consistent with previous studies of other steroid-metabolizing pathways in bacteria.³⁰

Since none of the bacterial isolates Applicants tested were able to complete this reaction, and since there are no available human gut bacterial isolates possessing cor genes, Applicants cultured stool samples from eight healthy donors in cholesterol-containing medium in order to study coprostanol-forming bacteria in mixed communities as a proxy for the gut microbiome (FIG. 4C). Metagenomic sequencing of the cultures was performed on day 3 and levels of cholesterol, 2, 3 and 4 were measured on days 2, 4, and 6. In four of the five cultures, cor homologs could be detected at day 3 and coprostanol was produced on day 6, further connecting the presence of these genes in gut microbial communities with cholesterol metabolism. Interestingly, while complete conversion of cholesterol to coprostanol was never observed, similar levels of coprostanol formation was observed in the stool cultures as in pure cultures of E. coprostanoligenes, suggesting there may be a limit to this metabolic transformation under these conditions (FIG. 23A).

Applicants next used paired metagenomic and metabolomic data from the HMP2 and PRISM cohorts to associate the presence of putative cor genes with fecal coprostanol levels. Applicants stratified patients as either coprostanol positive (converters) or coprostanol negative (non-converters), as determined by untargeted metabolomics of the fecal sample (see methods for details).31,32 In both cohorts, converter samples were strongly enriched in homologs of cholesterol oxidoreductase compared to non-converters (PRISM: OR =14.37 (95% CI: 5.41, 44.02); HMP2: OR =40.87 (95% CI: 18.02, 92.72)) (FIG. 4A, Table 10). This supports the hypothesis that the presence of a cor gene within a gut microbiome is predictive of coprostanol formation in the gut. Indeed, the presence of any of the 25 cor homologs was highly associated with the presence of coprostanol in the majority of samples. Applicants were not able to account for the remaining activity in ˜⅓ of the samples, possibly due to the limitations of metagenomic sequencing.

TABLE 10 Odds ratios for the presences of a cor genes and fecal coprostanol Predictor Cohort Outcome n n_unique beta lci uci p Ecop_ HMP2 dih. 456 105 40.8732689 18.0173686 92.7229799 6.7918E−19 Homololgs_ Coprostanol yes_no Ecop_ PRISM dih. 151 151 14.3715211 5.40675844 44.0168803 4.5869E−07 Homololgs_ Coprostanol yes_no

Applicants then evaluated whether the presence of cor genes was also associated with changes in fecal cholesterol and other pathway intermediates. Strikingly, Applicants observed a 69% and 60% reduction in stool cholesterol in encoders vs. non-encoders in the PRISM and HMP2 cohorts, respectively (FIG. 4B, Table S10), further data provided in Kenny et al., 2020 Cell Host & Microbe 28, 245-257, Table S5, specifically incorporated herein by reference. A corresponding increase in levels of stool cholestenone was also observed, with encoders having 4.8-fold increase and 2.3-fold increases in cholestenone compared to non-encoders (FIG. 4B, Table S10). These shifts in metabolite levels and their co-occurrence with the cor homologs suggests that cor+ bacteria affect the intestinal cholesterol pool.

TABLE 11 Results from associations between all three fecal metabolites and encoder status for PRISM and HMP2 Predictor Cohort Outcome n n_unique beta se p Ecop_ HMP2 z.Cholesterol 456 105 −0.6703954 0.0839105 1.9948E−14 Homololgs_ yes_no Ecop_ HMP2 z.Cholestenone 456 105 0.86845121 0.09088552 2.2647E−19 Homololgs_ yes_no Ecop_ HMP2 z.Coprostanol 456 105 1.21811346 0.0832156 3.6373E−38 Homololgs_ yes_no Ecop_ PRISM z.Cholesterol 151 151 −1.0959768 0.15055762 2.0019E−11 Homololgs_ yes_no Ecop_ PRISM z.Cholestenone 151 151 0.76692993 0.15393708 1.7775E−06 Homololgs_ yes_no Ecop_ PRISM z.Coprostanol 151 151 1.08335268 0.13257077 1.4185E−13 Homololgs_ yes_no Note: Results include longitudinally of the data for HMP2

Because the cor genes predict coprostanol formation from cholesterol, Applicants asked whether these genes could also predict variation in serum lipid levels, specifically HDL-C, LDL-C, and Total Cholesterol (TC). Applicants analyzed three studies (FHS, CVON, JIE et al), comprised of subjects from three countries (USA, Netherlands, China) with paired stool metagenomics and serum cholesterol measurements (Table 12). Given the key effects of these lipids on cardiovascular disease (CVD), the chosen studies also included participants with CVD. Subjects with any of the newly identified cor genes in their microbiome were classified as encoders, while those without the genes were considered non-encoders. In a meta-analysis of these studies, Applicants observed a pooled difference of −0.14 mmol/L in TC (95% CI: −0.27, −0.02) between encoders and non-encoders (FIG. 21, Table 13), with directional consistency across all three included studies and low between-study heterogeneity (I² =0). Therefore, the presence of these gut bacterial genes significantly correlates with decreased serum cholesterol, suggesting that cholesterol metabolism by the human gut microbiota may impact host cholesterol levels. Due to the importance of triglycerides on CVD risk, Applicants also analyzed the effects of these bacteria on serum triglyceride levels. In a meta-analysis of the same studies above, Applicants observed a pooled difference of -0.056 log10(mmol/L) in logTG (95% CI: −0.083, −0.028) between converters and non-converters (FIG. 21, Table 13), with directional consistency across all three included studies and low between-study heterogeneity (n=0).

TABLE 12 Summary statistics for the three human CVD cohorts used in this study Study n mean.Age n.Females mean.LDL sd.LDL mean.HDL CVON 282      66.9432624 125 4.1512766 0.96789705 1.33929078 FHS 624     55.6538462 343 3.07704597 0.82996651 1.59506309 Jie.et.al 193     60.7506423 193 2.63432642 0.98302474 0.98017617 Study sd.HDL mean.TC sd.TC mean.TG CVON 0.31339638 6.27684397 1.11296163 1.7470922 FHS 0.50320333 4.91167041 0.92232909 1.19780675 Jie.et.al 0.26303394 4.39440415 1.17600479 1.66419689 n.Anti- mean.LDL. sd.LDL. Study sd.TG n.CVD biotics_Use n.Statin nonCVD nonCVD CVON  0.71984977 81 5 70 4.03427861 0.85482314 FHS  0.75173548 50 21 147 3.09704822 0.8191182 Jie.et.al  1.01905568 193 0 23 #N/A #N/A mean.HDL. sd.HDL. mean.TC. sd.TC. Study nonCVD nonCVD nonCVD nonCVD CVON 1.3540796 0.31239762 6.14199005 1.01170451 FHS 1.60844599 0.50653924 4.94206765 0.90895134 Jie.et.al #N/A #N/A #N/A #N/A mean.TG. sd.TG. mean.LDL. sd.LDL. mean.HDL. sd.HDL. Study nonCVD nonCVD CVD CVD CVD CVD CVON  1.67437811 0.68508812 4.44160494 1.15933327 1.30259259 0.3147927 FHS  1.18286723 0.7425763 2.84742017 0.92391154 1.44142746 0.43909884 Jie.et.al #N/A #N/A 2.63432642 0.98302474 0.98017617 0.26303394 mean.TC. sd.TC. mean.TG. sd.TG. Study CVD CVD CVD CVD CVON 6.61148148 1.27786454 1.92753086 0.77492343 FHS 4.56271011 1.00967872 1.36931241 0.83908306 Jie.et.al 4.39440415 1.17600479 1.66419689 1.01905568

Given well known downstream effects of lipid levels on CVD, Applicants also tested for interactions between cor presence and CVD status on lipid levels and found that they were not significant indicating that these effects are independent of CVD, although our meta-analysis is underpowered to answer this particular question (Table S12).

TABLE 13 Results from the meta-analysis using three CVD cohorts Homolog Status Lipid Study n beta se lower 95% Cl upper 95% Cl pval Isq increment se.increment p.increment Encoders TC CVON 287 −0.1302258 0.2172561 −0.55604 0.2955883 0.5488984 #N/A 0.18122 0.6248885 0.77202881 (YES/NO) Encoders TC FHS 624 −0.1428738 0.0703706 −0.2807977 −0.00494993 0.0423256 #N/A −0.152569 0.2558898 0.551241107 (YES/NO) Encoders TC Jie.et.al 193 −0.1570342 0.1899963 −0.5294202 0.21535176 0.4085138 #N/A #N/A #N/A #N/A (YES/NO) Encoders TC Random MA #N/A −0.1433694 0.0631414 −0.2671242 −0.01961464 0.0231706 0 #N/A #N/A #N/A (YES/NO) Encoders LDL CVON 282 0.0314318 0.1919074 −0.3446999 0.40756337 0.8698996 #N/A −0.0809768 0.5542878 0.883956544 (YES/NO) Encoders LDL FHS 624 −0.1438527 0.0657632 −0.2727462 −0.01495913 0.0287109 #N/A −0.0242922 0.2392459 0.91915772 (YES/NO) Encoders LDL Jie.et.al 193 0.0050764 0.1645217 −0.3173802 0.32753303 0.9753847 #N/A #N/A #N/A #N/A (YES/NO) Encoders LDL Random MA #N/A −0.1091054 0.0581905 −0.2231566 0.00494584 0.0607968 0 #N/A #N/A #N/A (YES/NO) Encoders HDL CVON 287 −0.0735179 0.0638232 −0.1986092 0.05157337 0.2493628 #N/A −0.3222581 0.1852082 0.082965617 (YES/NO) Encoders HDL FHS 624 0.0479746 0.0363993 −0.0233668 0.11931596 0.1875012 #N/A −0.0586949 0.1324806 0.657888422 (YES/NO) Encoders HDL Jie.et.al 193 −0.0871 0.041612 −0.1686581 −0.00554192 0.0363362 #N/A #N/A #N/A #N/A (YES/NO) Encoders HDL Random MA #N/A −0.0322467 0.0488153 −0.1279231 0.06342957 0.5088776 0.7054735 #N/A #N/A #N/A (YES/NO) Encoders log.TG CVON 287 −0.048546 0.0391992 −0.1253749 0.02828296 0.2155513 #N/A 0.3257968 0.1111156 0.003646369 (YES/NO) Encoders log.TG FHS 624 −0.0626904 0.0167236 −0.095468 −0.02991275 0.0001778 #N/A −0.0773037 0.0608041 0.204082165 (YES/NO) Encoders log.TG Jie.et.al 193 −0.0273738 0.036468 −0.0988499 0.04410223 0.4528785 #N/A #N/A #N/A #N/A (YES/NO) Encoders log.TG Random MA #N/A −0.055507 0.014173 −0.0832856 −0.02772849 8.988E−05 0 #N/A #N/A #N/A (YES/NO) Note: Increment tests for interactions between cor presence and CVD status on lipid levels

TABLE 14 Results from the meta-analysis using three CVD cohorts Homolog Status Lipid Study n Isq increment se.increment p.increment Encoders TC CVON 287 #N/A 0.181219998 0.624888537 0.77202881 (YES/NO) Encoders TC FHS 624 #N/A −0.152568966 0.255889767 0.551241107 (YES/NO) Encoders TC Jie.et.al 193 #N/A #N/A #N/A #N/A (YES/NO) Encoders TC Random #N/A 0 #N/A #N/A #N/A (YES/NO) MA Encoders LDL CVON 282 #N/A −0.08097676 0.5542878 0.883956544 (YES/NO) Encoders LDL FHS 624 #N/A −0.02429216 0.239245875 0.91915772 (YES/NO) Encoders LDL Jie.et.al 193 #N/A #N/A #N/A #N/A (YES/NO) Encoders LDL Random #N/A 0 #N/A #N/A #N/A (YES/NO) MA Encoders HDL CVON 287 #N/A −0.322258099 0.185208177 0.082965617 (YES/NO) Encoders HDL FHS 624 #N/A −0.058694932 0.132480619 0.657888422 (YES/NO) Encoders HDL Jie.et.al 193 #N/A #N/A #N/A #N/A (YES/NO) Encoders HDL Random #N/A 0.705473531 #N/A #N/A #N/A (YES/NO) MA Encoders log.TG CVON 287 #N/A 0.325796812 0.111115562 0.003646369 (YES/NO) Encoders log.TG FHS 624 #N/A −0.077303653 0.060804138 0.204082165 (YES/NO) Encoders log.TG Jie.et.al 193 #N/A #N/A #N/A #N/A (YES/NO) Encoders log.TG Random #N/A 0 #N/A #N/A #N/A (YES/NO) MA

Discussion:

There have been multiple proposed roles for the gut microbiota in affecting host cholesterol homeostasis.³³ Here, Applicants studied how direct gut microbial metabolism of cholesterol to coprostanol correlates with host serum cholesterol. Applicants have identified a family of genes in uncultured Clostridia species involved in cholesterol metabolism in human samples and showed that these genes encode functional enzymes that oxidize cholesterol to cholestenone, an on-pathway intermediate in coprostanol formation. The presence of cor genes in fecal metagenomic data correlated with higher stool coprostanol levels and lower stool cholesterol and serum TC and triglycerides. Thus, these gut bacterial enzymes may play an important role in human health. It is coincidental that the identification of microbes with the capacity to reduce cholesterol was within 20 years of the inception of the Framingham Heart Study, however over 70 years passed before Applicants could couple metagenomic and serum cholesterol data allowing us to draw the link between specific microbial genes and serum lipid levels.

All the cor genes described in this study come from reference-free metagenomic assemblies, and were identified in humans from geographically diverse locations. Applicants characterized the enzymes by expression in E. coli as a heterologous host, allowing circumvention of a lack of representative cultured species. Studying the metabolic potential of uncultured organisms by heterologously expressing genes of interest in tractable hosts is a powerful approach that will become increasingly important as computational methods continue to enable the discovery of microbes without cultured representatives. Many such species have been historically overlooked in analyses due to limitations of reference-based microbiome analyses.^(25,34) This work indicates these gut microbes are untapped sources of biologically relevant metabolic transformations.

Depletion of intestinal cholesterol levels through cholesterol oxidoreductase activity may directly alter serum cholesterol by reducing intestinal cholesterol transport. To put the magnitude of the observed effects into perspective, such effect sizes of the cor genes (0.14 mmol/L for TC) are comparable with the largest effects of lipid-associated host genes, such as HMGCR (0.063 SD units per allele for TC, which would correspond to 0.058 mmol/L for FHS study (see methods for details)), or PCSK9 (0.054 SD units per allele for TC, which would correspond to 0.050 mmol/L per allele for TC for FHS study).³⁵ Given that natural genetic variation differences in human genes were comparable in magnitude to microbial cor gene-dependent differences, and that modulating human genes with appropriate targeted therapeutics produce larger effect sizes (statins targeting HMGCR: on average 1.20 mmol/L on TC)³⁶, it is also possible that similar effect sizes on host lipids may be expected from targeting this microbial pathway. Furthermore, the association of the cor genes with lower serum triglycerides (corresponding to lower TG for encoders) also supports their role as potentially protective in CVD, although current cohorts are underpowered to assess CVD risk based on microbiome composition, which would most likely require large-scale prospective studies.

In addition, the effects of coprostanol on intestinal cholesterol absorption merit further investigation. Dietary intake of a diverse number of sterols and stanols can influence intestinal absorption of cholesterol. Since almost nothing is known about the effects of coprostanol on the host, the use of human cohorts may also lead to the discovery of novel coprostanol biology. More generally, linking gut microbial activities to organisms, genes and enzymes is a critical component of studying metabolic interactions with the human host. In the future, manipulation of cholesterol levels through gut microbiota-based interventions may become a viable therapeutic strategy for decreasing serum cholesterol levels.

Methods:

Materials, general methods and instrumentation.

E. coprostanoligenes ATCC51222 was obtained from the American Type Culture Collection. E. coprostanoligenes and stool cultures were grown in basal cholesterol medium (BCM), which contained (per liter) 10 g of casitone (Difco Laboratories, Detroit, Mich.), 10 g of yeast extract, 2 g of cholesterol, 1 g of lecithin, 0.5 g of sodium thioglycolate, 1 g of calcium chloride dihydrate, and 1 mg of resazurin. E. coprostanoligenes was grown on YCFA plates, which contained (per liter) 10 g of casitone, 2.5 g of yeast extract, 5 g of glucose, 45 mg of MgSO₄ X 7 H₂O, 90 mg of CaCl₂ X 2 H₂O, 0.45 g of K₂HPO₄, 0.45 g of KH₂PO₄, 0.9 g of NaCl, 1.0 mg of resazurin and 15 g of technical agar (Difco). The solution was autoclaved, cooled to room temperature, and then 10 mL of BBL™ Vitamin K1-Hemin Solution (BD Biosciences), 4 g of NaHCO₃, 1 g of L-cysteine-HCl, and 1 mL of Volatile Fatty Acids (VFA) solution were added. VFA solution was made up of 1.90 mL of acetic acid, 0.70 mL of propionic acid, 90 μL of iso-butyric acid, and 100 μL of iso-valeric acid.

Cultures were grown and handled in an anaerobic chamber (Coy Laboratory Products) with an atmosphere of 20% CO₂, 5% H₂, and 75% N₂ at 37C.

Cloning and Expression of Candidate Cholesterol Oxidoreductase Genes.

Candidate cholesterol oxidoreductase genes were amplified from genomic DNA (for E. coprostanoligenes) and cloned into pET28b. DNA was extracted from stool samples (DNeasy PowerSoil Kit, Qiagen) (for CAG:217, CAG:251 and CAG:341) or purchased from Genewiz (Ordered sequences are listed in Table 6). PCR reactions were performed with Phusion High Fidelity polymerase, and PCR products were purified (Zymoclean gel DNA recovery kit, Zymo research). The resulting gene products were assembled into pET28b using Gibson assembly and transformed into Stellar™ Competent Cells. The identities of the constructs were confirmed with DNA sequencing and transformed into E. coli BL21 strains for expression. All constructs were grown in LB with kanamycin (50 μg/mL) with the exception of the strain expressing the homolog from CAG:180 which required growth in TB for protein expression. All constructs were induced at an OD₆₀₀ of 0.5-0.6 with 500 μM isopropyl β-D-1-thiogalactopyranoside, and the induced cells were incubated at 20° C. for 20 h.

Lysate Experiments for Cholesterol Oxidoreductase Activity

500 mL of a culture of E. coli BL21 expressing one of the cholesterol oxidoreductase homologs were pelleted by centrifugation (20 min at 7,000g and 4° C.), resuspended in 10 mL of ice-cold phosphate-buffered saline containing one cOmplete Protease Inhibitor cocktail tablet (Roche Diagnostics) and lysed by a cell disruptor (EmulsiFlex-C3, Avestin). Cell debris was removed by ultracentrifugation (30 min at 20,000g and 4° C.). Protein expression was confirmed by SDS-PAGE analysis using 4-20% Mini-PROTEAN TGX gels (Bio-Rad Laboratories). Gels were stained with Coomassie Blue for visualization. The clarified supernatant was used directly in the cell lysate assay described below. Cholesterol or coprostanol (5 μL of a 10 mM solution of cholesterol or coprostanol in methanol) was added to 500 μL of clarified supernatant with 100 μM of NADP⁺ and NAD⁺. After incubation at 37° C. for 12 h, the reaction mixtures were frozen until being analyzed using LC-MS.

qPCR of E. coprostanoligenes

Total RNA was purified by chloroform-phenol extraction from cell pellets of replicate cultures of E. coprostanoligenes grown in basal cholesterol media for 48 h. RNA was DNase treated, and cDNA was prepared using the High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems) with or without reverse transcriptase. Transcripts of interest were quantified by real-time PCR carried out using iTaq Universal SYBR Green Supermix (Bio-Rad). All qPCRs were normalized to 16S rRNA gene expression. Primers used are listed in Table 5.

Purification of N-His Terminal Tagged ECOP170

Proteins were overexpressed using the procedure described above. Cells from 200 mL of culture were pelleted by centrifugation, resuspended in 10 mL of ice-cold lysis buffer (300 mM NaCl, 10 mM imidazole, 50 mM HEPES, pH 7.5) containing one cOmplete Protease Inhibitor cocktail tablet, and lysed by 4 min of continuous passage through a cell disruptor (EmulsiFlex-C3, Avestin) at 15,000 lbs per square inch. Cell debris was removed by ultracentrifugation (20 min at 20,000×g and 4° C.), and the cell-free extract was applied to 0.5 mL of HisPur Ni-NTA Resin (Thermo Scientific) pre-equilibrated with lysis buffer by gentle rocking at 4° C. for 2 h. Non-absorbed materials and weakly bound proteins were removed by washing the column with 2×25 mL of wash buffer (300 mM NaCl, 20 mM imidazole, 50 mM HEPES, pH 7.5). His6-tagged protein was eluted with 5 mL of elution buffer (300 mM NaCl, 200 mM imidazole, 50 mM HEPES, pH 7.5). After SDS-PAGE analysis, eluent containing pure protein was dialyzed (Spectra/Por Dialysis Membrane, 6-8 kDa molecular weight cutoff; Spectrum Labs) against 500 mL of extraction buffer (300 mM NaCl, 50 mM HEPES, pH 7.5) for 12 h at 4° C. The proteins were immediately used in enzymatic assays.

Culturing Stool Samples

Approximately 100 mg of frozen stool sample was suspended in 20 mL of pre-reduced PBS and vortexed for homogenization. 500 μL of stool slurry was added to 5 mL of pre-reduced basal cholesterol media and cultured in an anaerobic chamber at 37° C.

Extraction of Cholesterol, Cholestenone, Coprostanone and Coprostanol

Samples (either stool cultures,reaction mixtures with purified enzymes or lysates) were diluted 1:10 in methanol. Insoluble debris was removed by centrifugation (10 min at 5,000×g and 4° C.) and the supernatant was injected onto a Kinetex 2.6 μm, C8 100 Å 100×3 mm (Phenomenex) column for LC-MS analysis.

Instrumentation and Chromatographic Conditions for Measurement of Sterols

Analysis of the sterols in samples was performed using an ultra-high performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) system model Xevo TQ-S (Waters). The mass spectrometer system consists of a triple quadrupole equipped with an atmospheric pressure chemical ionization (APCI) probe. The chromatographic separation was performed on a Kinetex 2.6 μm, C8 100 Å 100×3 mm (Phenomenex) column. The LC elution method was as follows: 0-4.5 min (93% B) at a flow rate of 0.5 mL/min at 40° C. Solvent A was water with 0.1% formic acid, and solvent B was acetonitrile with 0.1% formic acid.

To measure cholesterol, cholestenone, coprostanone and coprostanol, the retention times and mass transitions listed below were monitored for each compound: cholesterol (rt 2.70, 369.332→147.021), cholestenone (rt 2.60, 385.244→108.988), coprostanone (rt 3.00, 369.332→147.021), coprostanol (rt 3.20, 371.304→95.011).

Extraction of DNA and Metagenomic Sequencing of Human Stool Samples

For samples used in FIG. 4C, 1 mL of stool culture (described above) at day 3 was centrifuged at 5,000×g for 10 min. Supernatant was removed and the pellet was frozen until further processing. DNeasy PowerSoil Kit was used to isolate DNA (Qiagen).

For Framingham Heart Study (FHS) samples, stool was collected in 100% ethanol for nucleic acid extraction as previously described.³² For DNA extraction, a combination of the QIAamp 96 PowerFecal Qiacube HT Kit (Qiagen Cat No./ID: 51531), the Allprep DNA/RNA 96 Kit (Qiagen Cat No./ID: 80311), and IRS solution (Qiagen Cat No./ID: 26000-50-2) kits were used with a custom protocol as previously described.³⁷ Briefly, approximately 100 mg of stool were transferred into individual wells of the PowerBead plate, with 0.1 mm glass beads (Cat No./ID: 27500-4-EP-BP) prior to bead beating on a TissueLyzer II at 20 Hz for a total of 10 minutes. Samples were transferred into AllPrep 96 DNA plate and processed as per manufacturer's instructions. Purified DNA was stored at −20° C.

For metagenomic library construction, DNA samples were first quantified by Quant-iT PicoGreen dsDNA Assay (Life Technologies) and normalized to a concentration of 50 pg/μL. Illumina sequencing libraries were prepared from 100-250 pg of DNA using the Nextera XT DNA Library Preparation kit (Illumina) according to the manufacturer's recommended protocol, with reaction volumes scaled accordingly. Prior to sequencing, libraries were pooled by collecting equal volumes (200 nL) of each library from batches of 96 samples. Insert sizes and concentrations for each pooled library were determined using an Agilent Bioanalyzer DNA 1000 kit (Agilent Technologies). Libraries were sequenced on HiSeq 2500 2×101 to yield ˜10 million paired end reads per sample. De-multiplexing and BAM and FASTQ file generation were performed using the Picard suite (https://broadinstitute.github.io/picard).

Untargeted Metabolomics of Fecal Samples

Cholesterol (rt 7.21, m/z 369.3519), cholestanone (rt 7.00, m/z 385.3465), and coprostanol (rt 7.50, m/z 371.3583) could be identified in published metabolomics datasets (PRISM and HMP2).

Computational Methods

Raw sequencing data for PRISM31, HMP232, CVON38, 500FG39 and a study by Jie et a140 were downloaded from SRA: PRJNA400072 (PRISM), PRJNA398089 (HMP2), PRJNA319574 (500FG), or from EBI: EGAS00001003508 (CVON), PRJEB21528 (study by Jie et al).

The quality control for all metagenomic datasets was conducted using Trim Galore! to detect and remove sequencing adapters (minimum overlap of 5 bp) and kneadData v0.7.2 to remove human DNA contamination and trim low-quality sequences (HEADCROP:15 SLIDINGWINDOW:1:20), retaining reads that were at least 50 bp long.

Applicants employed a two-step approach to analyze metagenomic data: 1) assembly and metagenomic species binning across all datasets to search for homologs of the prioritized cholesterol oxidoreductase from E. coprostanoligenes and 2) targeted assembly across prioritized samples to create draft genomes for human gut microbes that encode the homologs to the prioritized cholesterol oxidoreductase from E. coprostanoligenes. In step 1, metagenomic reads were assembled individually for each sample into contigs using MegaHIT⁴¹, followed by an open reading frame prediction with Prodigal' and retaining only full length genes (containing both start and stop codon). A non-redundant gene catalogue was constructed by clustering predicted genes based on sequence similarity at 95% identity and 90% coverage of the shorter sequence using CD-HIT.^(43,44) Reads were mapped to the gene catalogue with BWA⁴⁵, filtered to include strong mappings with at least 95% sequence identity over the length of the read, counted (count matrix) and normalized to transcript-per-million (TPM matrix). Count matrix served as an input for binning genes into metagenomic species pan-genomes (core and accessory genes) using MSPminer with default settings²⁶. Applicants annotated the gene catalogue at species, genus and phylum levels with NCBI RefSeq (version May 2018) as described previously⁴⁶. To annotate phylogenetically MSPs that had no match to any species from NCBI RefSeq Applicants used Phylophlan with default settings²⁷. In step 2, for the prioritized MSPs Applicants selected 35 human gut microbiomes (at least two per MSP) that had the highest cumulative read-per-kilobase (RPK) count across all MSP genes (counted in step 1) for assembly with SPAdes⁴⁷ in ‘-meta’ mode. Applicants also included the 4 cultured stool samples that showed cholesterol oxidoreductase activity. 6 samples were aborted after two assembly trials due to expected very long runtime (>>48 h), and in their case Applicants reverted to the MegaHIT assemblies from step 1. To construct the draft genomes Applicants used genes binned in the respective MSPs (from step 1) to find (min. 95% identity, min. 50% coverage, USEARCH ublast⁴⁸) and extract contigs encoding them. Applicants evaluated the quality of the draft genomes using completeness and contamination measurements based on lineage specific marker genes with CheckM (‘lineage_wf’ workflow)⁴⁹. As recommended by CheckM framework, draft genomes with >90% completeness and <5% contamination were considered as near complete with low contamination, i.e. of highest quality. All-vs-all genome-wide calculation of sequence identity for the draft genomes and the genome of E. coprostanoligenes was performed with FastANI⁵⁰. To test for detection of E. coprostanoligenes in the human gut microbiome Applicants searched for its genes in the assembled gene catalogue (min. 95% identity, USEARCH global alignment⁴⁸) or mapped metagenomic stool samples (as in step 1 above) to the assembled gene catalogue that was augmented with the E. coprostanoligenes genes (only added genes with less than 95% identity to other genes in the gene catalogue, USEARCH global alignment⁴⁸). Additional details can be found in Kenny et al., 2020, Cholesterol Metabolism by Uncultured Human Gut Baceria Influences Host Cholesterol Level, Cell Host & Microbe, 28, 245-247, incorporated herein by reference in its entirety. Specifically, Table S4 of Kenny et al. details the information generated from genomes in this study, comparison to previously published studies on metagenomic species, and results from commonly used microbiome analysis software, specifically incorporated herein by reference.

Associations with Blood Lipids and Meta-Analysis of Four Studies

Applicants studied the relationship between converter status and blood concentration of total cholesterol, LDL-C and HDL-C in three studies with publicly available shotgun metagenomic sequencing datasets: CVON³⁸, a study by Jie et al.⁴⁰ and one newly sequenced FHS study. Detailed characteristics of studies are provided in Table 12.

Converter status was coded both as a dichotomous variable (converter cases and controls (=“non-converter”)) and continuous z-scores for homolog TPM count produced in each study by subtracting the mean from each individual TPM count value and dividing by the standard deviation.

In each study Applicants performed association analysis using a generalized linear model with a given lipid as outcome (in mmol/L) and encoder status as a predictor. Age (in years), sex, antibiotic usage (yes/no) and statin usage (yes/no) were fitted as covariates while optimization was performed using lm function in R. CVD status (yes/no) was additionally included in the model in all studies with available data (CVON and FHS). All participants of the Jie et al. study were not taking antibiotics.⁴⁰ For the Jie et al. study, statin usage was not reported for controls and thus only CVD cases were used in our analyses to avoid confounding of associations due to profound effects of statins on lipid concentrations. In order to investigate potential incremental relationships between encoder and CVD status, Applicants performed a sensitivity analysis by fitting interaction between predictor and CVD in the model for all studies with available data (CVON and FHS).

Results from this Increment Analysis are Presented in Table 13.

Inverse variance-weighted random-effects meta-analysis implemented in meta R package was used to obtain pooled estimates for relationship between converter status and lipid concentrations across all four studies with between-study heterogeneity calculated using I² statisticS.⁵¹

Relationships between Stool Metabolites and Converter Status

Relationships between stool metabolites and converter status were investigated in PRISM³¹ and HMP2³² studies. In PRISM and HMP2, data for cholesterol, cholestenone and coprostanol was available. Applicants performed log10 transformation (with pseudo count of le-5 for zero values) of metabolite data followed by calculation of z-scores as described above. For coprostanol Applicants also created dichotomous variable indicating presence or absence of this metabolite in stool samples.

In PRISM, transformed rescaled values of metabolites were used as outcomes in linear regression models using lm function (stats package in R), converter status was included as predictor, while age, gender, antibiotic usage (yes/no) and disease status (nonIBD, CD or UC) were used as covariates. For dichotomous coprostanol variable Applicants utilized the same model specification, but applied logistic model using glm function (stats package in R). Results from this analysis are presented in Table 10 and 11.

Given that in the HMP2 study longitudinal metabolite measurements were available, Applicants utilized mixed effects models to study relationships between converter status and stool metabolite concentrations. Transformed metabolite values were fitted as outcomes and converter status was specified as predictor while subjects were included as random effects to account for correlation between repeated measures (lme function from nlme R package). For dichotomous coprostanol variable Applicants fitted logistic mixed effects model including subjects as random effects variable (glmer function from lme4 package in R). Age, gender, antibiotic usage (yes/no) and disease status (nonIBD, CD or UC) were included in all models as covariates (fixed effects) in HMP2 study. Results from this analysis are presented in Table 10 and 11.

Effect Size of Serum Lipid Associated Genes in FHS Cohort

Effect size of each gene highlighted in the text was calculated in units of mmol/L from SD units reported in Willer et al.³⁵ Briefly, SD of lipid of interest from the FHS cohort (e.g., 0.922329093 mmol/L for TC) was multiplied by the effect size per allele in SD units (e.g., 0.068 in SD units for HMGCR) to give the effect size in mmol/L (e.g., 0.063 mmol/L per allele in FHS study for HMGCR).

Data Availability

PRISM and HMP2 metabolomics data (accession number PR000677 and PR000639 respectively) are available at the NIH Common Fund's Metabolomics Data Repository and Coordinating Center (supported by NIH grant, U01-DK097430): Metabolomics Workbench (http ://www.metabolomicsworkbench. org).

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Example 2 Substrate Scope of CORs

Phytosterols are found in large quantities in plant-based foods. They also have cholesterol lowering effects according to the literature. However, it is not clear whether the reduced forms (Δ^(5,6)) of these molecules (like coprostanol is the reduced form of cholesterol) are the active components. The presence of one of the presently disclosed COR containing microbes will predict whether a microbiome can form the reduced forms of these phytosterols. Without being bound by theory, it is believed that similar to coprostanol, administration of these reduced forms might work to lower serum cholesterol. Analogous to the reduction of the 5,6-double bond of cholesterol to coprostanol, the COR enzymes are involved in the reduction of the 5,6-double bond in beta-sitosterol, campesterol and stigmasterol.

Accordingly, in some instances, the COR enzymes as disclosed herein can utilize substrates according to the formula:

Cholesterol, campesterol, stigmasterol, or beta-sitosterol.

Sterol composition of cholesterol, campesterol, stigmasterol and beta-sitosterol in crude oils is provided in Table 15 below.

TABLE 15 Sterol composition in crude oils (as percentage of total sterol fraction) Cholesterol Campesterol Stigmasterol β-Sitosterol Coconut oil 0.6-2    7-10 12-18 50-70 Corn oil 0.2-0.6 18-24 4-8 55-67 Cottonseed oil 0.7-2.3 7.2-8.4 1.2-1.8 80-90 Olive oil   0-0.5 2.3-3.6 0.6-2   75.6-90   Palm oil 2.2-6.7 18.7-29.1  8.9-13.9 50.2-62.1 Palm kernel oil   1-3.7  8.4-12.7 12.3-16.1 62.6-70.4 Peanut oil 0.6-3.8 12-20  5-13 48-65 Rapeseed oil 0.4-2   18-39   0-0.7 45-58 Soybean oil 0.6-1.4 16-24 16-19 52-58 Sunflower oil 0.2-1.3  7-13  8-11 56-63 Applicants are further investigating metabolism of the following compounds by the presently disclosed cholesterol oxidoreductases. These compounds, if metabolized, would be important for human health, and could inactivate the corticosteroid prednisone used to treat IBD.

Example 3 Identification of Putative Cholesterol Metabolizing Enzymes Human Gut Microbe Assemblies

This Example at least examines the putative gut organisms and enzymes responsible for converting cholesterol to coprostanol in the human gut microbiota. To do so, a three-tiered, multi-disciplinary analysis was used that employed 1) integration of large-scale human stool microbiome and metabolomics datasets, 2) mining the genomes of previously proposed coprostanol producing microbes and 3) employing biochemical knowledge to prioritize enzymes with catalytic capabilities needed to metabolize cholesterol (FIGS. 17A-17D).

The process began by analyzing gut microbiomes for enzyme-encoding genes associated with the presence of coprostanol in stool metabolomes. To avoid constraints imposed by reference genomes, which do not represent the full spectrum of microbiome enzymatic diversity, de novo assembly of gut microbiome datasets from geographically diverse locations (N=3,097) was performed resulting in 5,929,528 non-redundant complete genes. These were further grouped into clusters of homologous proteins (sequence-based homology, min. 50% AA identity) in order to connect proteins with similar molecular functions and facilitate integrative analysis with stool metabolomics readouts (Suzek et al., 2015). A total of 625 samples from two independent datasets had paired fecal metagenomics and metabolomics measurements, which can be used to identify associations between metabolites and genes found within a microbiome (Franzosa et al., 2019); (Lloyd-Price et al., 2019). To find proteins associated with coprostanol production in vivo, the presence of homologous protein clusters was correlated to the presence of coprostanol across these samples (FIG. 17A, FIG. 22A) and derived metrics of specificity and sensitivity that represent how well the presence or absence of a protein cluster corresponds to the detection of coprostanol. In dataset 1, 91% of tested protein clusters (˜909k) had specificity or sensitivity <0.5, showing poor correlation with coprostanol; similarly, no obvious candidate cluster with both specificity and sensitivity close to 1 was revealed (FIG. 17A). Overall, a similar distribution of coprostanol to protein clusters was observed in dataset 2 (FIG. 22A). One potential explanation for this observation is that different species with more divergent enzymes (<50% AA identity) are responsible for coprostanol formation in human microbiomes, which would result in multiple clusters with lower sensitivity (but high specificity) contributing to the total number of coprostanol positive samples across the cohort. Under this assumption, if the protein clusters were defined with >0.3 sensitivity and >0.9 specificity for coprostanol as the most promising candidates for experimental validation, this stringent cut-off would still yield thousands of candidates (dataset 1=33k, dataset 2=2k), necessitating additional prioritization steps.

To identify protein clusters most likely to contain cholesterol metabolizing enzymes, genomic information from previously reported coprostanol forming microorganisms Eubacterium coprostanoligenes, Bacteroides dorei, Lactobacillus sp. and Bifidobacterium sp (Freier et al., 1994; Gerard et al., 2007; Lye et al., 2010) was integrated. First, coprostanol formation by E. coprostanoligenes HL (ATCC 51222) was validated, a hog sewage lagoon isolate which is the only publicly available strain displaying characteristics of the coprostanol-forming Eubacterium strains isolated in the 20th century (FIG. 23A) (Freier et al., 1994). Although additional studies have suggested that B. dorei, Lactobacillus and Bifidobacterium species can also perform this transformation, coprostanol formation in a targeted screen of 17 different isolates of these species was not observed (Table 3); this activity is potentially a strain-specific adaptation and not a core function in these species (Freier et al., 1994; Gerard et al., 2007; Lye et al., 2010); (Norin et al., 1991; Vatanen et al., 2019). As E. coprostanoligenes HL is the only available isolated bacterial isolate capable of cholesterol metabolism, a high-quality genome was sequenced and assembled to search for enzymes involved in coprostanol formation (Parmentier and Eyssen, 1974). Excitingly, ˜80% of E. coprostanoligenes proteins could be mapped to the de novo assembled clusters of homologous proteins (50% AA similarity), and 328 of these proteins showed >0.3 sensitivity and >0.9 specificity for coprostanol detection (FIG. 17B). In comparison, there were only 12 such proteins identified from all other reported coprostanol forming species, making these species unlikely candidates for coprostanol formation in human microbiomes (FIG. 24). Altogether, by integrating screening results and genomic information, candidate enzymes involved in cholesterol metabolism were greatly narrowed down.

Without being bound by theory, it was hypothesized that the human gut microbial enzymes responsible for coprostanol formation would be related to the as-yet-undiscovered cholesterol-metabolizing enzyme(s) from E. coprostanoligenes and it was next investigated how coprostanol formation is accomplished by this organism. Earlier studies using labeled cholesterol determined that coprostanol formation in this organism proceeds through an indirect reduction pathway involving the initial oxidation of cholesterol (1) to cholestenone (2) (FIG. 16) (Bjorkhem and Gustafsson, 1971; Ren et al., 1996). To verify this finding, the activity of E. coprostanoligenes lysates towards cholesterol under both aerobic and anaerobic conditions was tested. Conversion of cholesterol to cholestenone was observed and it was discovered that this reaction requires NADP⁺ and is oxygen-independent (FIGS. 23B, 23C). The putative second step of this pathway, the formation of coprostanone (3) from cholestenone (2), did not occur in lysates, suggesting that either the assay conditions need further optimization or the putative enzyme becomes inactivated during cell lysis. Therefore, finding the cholesterol-oxidizing enzyme was prioritized.

Given that cholesterol oxidation in E. coprostanoligenes cell lysate was oxygen-independent and the gut is an anaerobic environment, it was reasoned that the well-studied oxygen-dependent cholesterol oxidases (PF09129) found in many Streptomyces species were unlikely to mediate this transformation (Kreit and Sampson, 2009). Accordingly, no homologs of any queried cholesterol oxidases were found in the genome of E. coprostanoligenes or our entire human microbiome gene catalogue. The only characterized oxygen-independent enzymes capable of this reaction are AcmA (PF01370) from the soil bacterium Sterolibacterium denitrificans and the cholesterol oxidoreductase Rv1106c from Mycobacterium tuberculosis (Chiang et al., 2008; Yang et al., 2007). While no homologs of AcmA or Rv1106c were found in the genome of E. coprostanoligenes, there were a significant number of homologs in the human microbiome gene catalogue; however, none of the homologs had high specificity and sensitivity for coprostanol in our two metabolomics datasets (FIG. 17C, FIG. 22C, Table 4).

The final class of enzymes considered was the hydroxysteroid dehydrogenases (HSDs), which belong to the short-chain dehydrogenase (SDR) enzyme family (PF00106). These enzymes are found in many gut microbes and can oxidize hydroxyl groups of bile acids to ketones in NAD(P)⁺ dependent, oxygen-independent manner (Devlin and Fischbach, 2015). However, no characterized gut microbial HSDs are known to accept cholesterol as a substrate. Using 6 biochemically characterized bile acid-metabolizing HSDs from gut microbes (E. lenta, R. gnavus, E. coli) as a query, 1,310 clusters of homologous proteins in the human microbiome gene catalog were found. Four of the HSD clusters contained homologs of E. coprostanoligenes proteins, including a cluster of 25 proteins that was associated with coprostanol formation in stool with 0.92 specificity and 0.68 sensitivity (FIG. 17D, FIG. 22D, Table 5). In summary, this metagenome-wide search combined with metabolomics-, genome- and enzyme-guided bioinformatics distilled 6M microbiome genes into 4 protein clusters that were prioritized for experimental validation.

Example 4 Biochemical Characterization of Putative Gut Microbial Cholesterol Oxidoreductases

To test whether proteins from these prioritized clusters could oxidize cholesterol (1) to cholestenone (2), each of the four putative HSDs encoded by E. coprostanoligenes was expressed in E. coli and evaluated the reactivity of cell lysates toward cholesterol (FIG. 18A). ECOP170 (WP_078769004.1), the E. coprostanoligenes HSD (ECOP170) with the highest specificity towards coprostanol in stool metabolomes, oxidized cholesterol to cholestenone, completing the first step in cholesterol metabolism. ECOP170 also catalyzed the oxidation of coprostanol (4) to coprostanone (3), suggesting it may be responsible for both the first (oxidation of cholesterol to cholestenone) and last (reduction of coprostanone to coprostanol) steps of this pathway (FIG. 18B).

As it is currently impossible to access a targeted knock-out of ECOP170 in E. coprostanoligenes due to lack of tools for genetic manipulation of this organism, ECOP170′s role in cholesterol metabolism was confirmed by measuring its expression levels in active E. coprostanoligenes cultures and by matching its cofactor preferences to the activity in E. coprostanoligenes lysates. To confirm that ECOP170 was expressed by E. coprostanoligenes under cholesterol-metabolizing conditions, levels of transcripts encoding all four HSDs were measured when E. coprostanoligenes was cultivated with and without cholesterol (FIG. 23D, Table 6). Of these four genes, ECOP170 had the largest increase in expression in medium containing cholesterol compared to medium lacking cholesterol after 2 days of growth (28.9-fold increase), suggesting it is highly induced under conditions where cholesterol is present. In order to determine if ECOP170's cofactor preference matched the activity observed in E. coprostanoligenes lysate, N-terminal His6-tagged ECOP170 was purified and assayed it for activity (FIG. 24). Excitingly, ECOP170 showed a strict dependence on NADP⁺ and not NAD⁺, directly matching the activity observed in E. coprostanoligenes lysate (FIG. 23C, FIGS. 25A-25B). Together these data suggest that ECOP170 is the enzyme responsible for the metabolism of cholesterol to cholestenone in E. coprostanoligenes.

Having determined that ECOP170 is a cholesterol oxidoreductase (COR), the human microbiome gene catalogue was referenced to determine if the other proteins in the ECOP170-containing cluster (all with at least 60% AA identity to ECOP170) could also oxidize cholesterol (Table 7). Of these 25 protein sequences in that cluster, only 10 have been previously deposited in the NCBI database (FIGS. 26A-26C). Interestingly, these 10 homologous enzymes were assigned to co-abundant gene groups (CAGs), i.e. microbial species that lack cultured representatives and have only been identified in gut microbiome assemblies (Nielsen et al., 2014). Furthermore, neither these proteins nor the other 15 proteins within the cluster could be assigned to isolates in the NCBI database or in recently described gut microbiome strain collections (Forster et al., 2019; Zou et al., 2019).

Since there are currently no available human gut microbial isolates encoding any of the ECOP170 homologs, six homologs were selected that were prevalent in the studied datasets and showed a wide sequence diversity for heterologous expression in E. coli and in vitro biochemical characterization. All six ECOP170 homologs examined oxidized cholesterol to cholestenone in E. coli lysates (FIG. 18C, FIGS. 27A-27D). Furthermore, both ECOP170 and the six homologs showed activity towards coprostanol, but did not oxidize the primary bile acids cholic acid and chenodeoxycholic acid, which have 3α-OH groups rather than 3β-OH groups (FIG. 18C, FIGS. 27A-27D). A multiple sequence alignment of the 25 protein sequences within the ECOP170-containing cluster shows the strictly conserved catalytic triad of Ser-Tyr-Lys required for HSD activity. Mutating any of these three amino acids in ECOP170 led to complete loss of cholesterol oxidizing activity in lysate (FIG. 18D, FIGS. 28A-28D). These data suggest that the homologs of ECOP170 enzymes found in uncultivated human gut bacteria are cholesterol oxidoreductases involved in the first and last steps (FIG. 16) of coprostanol metabolism in human gut microbiomes.

Example 5 Gut Microbial Cholesterol Oxidoreductases are Encoded by a Glade of Prevalent but Uncultured Bacteria Related to Group IV Clostridium

Because the 25 cor genes found in human microbiomes could not be mapped back to any publicly available isolate genome, and only 10 of those genes were associated with metagenomic species (Nielsen et al., 2014), it was examined if the other cor genes could also be assigned to uncultivated microbial species. To do this, the assembled human gut metagenomes were binned into metagenomic species (MSPs) using MSPminer and searched these species for the 25 cor genes (Plaza Oriate et al., 2018). Using this approach, 19 of the 25 homologs were successfully assigned to individual MSPs. Similarity based taxonomic annotation of these MSPs at the species level using a comprehensive collection of microbial isolates was unsuccessful, confirming that these cholesterol-metabolizing human gut bacteria are indeed novel and previously uncharacterized. To aid in taxonomic annotation, the phylogenetic relationship of all detected MSPs to known microbial isolates was evaluated using a set of single copy marker genes (PhyloPhlAn (Segata et al., 2013)). In the bacterial tree of life, the 18 COR-encoding MSPs and E. coprostanoligenes form a coherent Glade that phylogenetically neighbors with Clostridium cluster IV. Cluster IV contains species such as Faecalibacterium prausnitzii, Clostridium leptum and Ruminococcus bromii (FIG. 19A) that possess metabolic capabilities linked to host health, including short-chain fatty acid production (Lopetuso et al., 2013). In the direct neighborhood of COR-encoding MSPs an additional 9 MSPs were observed; upon further examination of their high-quality draft genome assemblies, two of them (msp_0910 and msp_0832) were also confirmed to encode cor genes. In case of msp_0832, its cor gene was missed in the original assembly of the non-redundant gene catalogue, which suggests that additional examples of cor genes and COR-encoding species might be uncovered by employing different assembly techniques. Furthermore, generation of at least one high quality draft genome for most of the COR-encoding MSPs was successful (completeness >90%, contamination <5% (Parks et al., 2015) (Table 8), and genome-wide similarity comparison revealed that these MSPs indeed are different species with maximum average nucleotide identity of 88% (Table 1) (Jain et al., 2018). Finally, the high quality genomes of COR-encoding MSPs were compared with previously recovered novel MSPs from human gut metagenomes and confirmed that all but two of these species were also catalogued in earlier efforts (FIG. 29B, Table 9) (Almeida et al., 2019; Nielsen et al., 2014; Pasolli et al., 2019; Plaza Oriate et al., 2018).

Given the lack of coprostanol-forming human gut isolates, it was tested whether microbial communities containing COR-encoding species could generate coprostanol ex vivo. To accomplish this, stool samples from eight healthy donors were anaerobically cultured in cholesterol-containing medium for four days, with metagenomic sequencing performed on Day 3 and levels of cholesterol, cholestenone and coprostanol measured on Days 2 and 4. In the four samples where coprostanol was produced on Day 4, COR-encoding bacteria could be detected, while samples without coprostanol lacked COR-encoding bacteria, further connecting the presence of these species in complex microbial communities with cholesterol metabolism (FIG. 19B, FIG. 30). While complete conversion of cholesterol to coprostanol was never observed, similar levels of coprostanol were formed in the stool cultures as in axenic cultures of E. coprostanoligenes, suggesting there may be a limit to this metabolic transformation under these specific culture conditions (FIG. 23A).

To understand the distribution of the 20 COR-encoding species in the human gut, the metagenomic datasets were stringently mapped against the non-redundant gene catalogue to calculate the prevalence and relative abundance of the individual species in each dataset. Across the six cohorts used to make the initial assembly, COR encoding species had an average relative abundance of 1.4% (FIG. 29B), while the percentage of samples containing a COR-encoding species varied from 37% of samples in the Human Microbiome Project 2 (HMP2) cohort to 92% of samples in the CVON cohort (FIG. 19C). The two cohorts with the lowest percentage of encoders were PRISM and HMP2, both of which contain significant numbers of samples from inflammatory bowel disease (IBD) patients. In these two IBD cohorts it was observed that Crohn's disease was significantly associated with decreased abundance of COR-encoding species, suggesting that these bacteria may be sensitive to terminal ileum inflammation (FIG. 19D) (Santoru et al., 2017; Sundqvist et al., 2019). The COR homologs that were characterized in vitro were encoded by the most prevalent MSPs found in all six cohorts (FIG. 19C); msp_0205, msp_0238 and msp_0196 were also present in the coprostanol producing stool cultures (FIG. 19B). Together, these data support the idea that COR-encoding bacteria are prevalent constituents of the human gut microbiome where they convert cholesterol to coprostanol.

Example 6 The Presence of COR-Encoding Bacteria is Associated with Lower Stool Cholesterol and Elevated Levels of Stool Cholestenone and Coprostanol

With a census of COR-encoding bacteria completed, the extent to which the presence of these bacteria in complex microbial communities is associated with coprostanol formation in vivo was evaluated (FIG. 20A). Returning to the two independent cohorts with paired metagenomic and metabolomic data, samples were categorized as either coprostanol positive (converters) or coprostanol negative (non-converters), as determined by the presence of coprostanol in their fecal metabolomes (see methods for details) (Franzosa et al., 2019; Lloyd-Price et al., 2019). In both cohorts, converter samples were strongly enriched in COR-encoding species (PRISM: OR =14.37 (95% CI: 5.41, 44.02); HMP2: OR =40.87 (95% CI: 18.02, 92.72)) (FIG. 20B, Table 10). This supports the hypothesis that the presence of COR-encoding bacteria within a gut microbiota confers the community with the ability to metabolize cholesterol to coprostanol. Interestingly, it was also observed that in a subset of microbial communities without a known COR-encoding microbe, coprostanol was still present (FIG. 20B). This observation might be explained by limit of detection issues with metagenomic sequencing, especially with low abundance microbes, or the possibility that other, more distantly-related microbes can also perform this reaction.

In addition to their association with coprostanol, it was also evaluated whether the presence of a COR-encoding species was correlated with changes in levels of fecal cholesterol and other pathway intermediates identified in the untargeted metabolomics datasets. Strikingly, a 75% and 55% reduction in stool cholesterol in COR-encoders vs. non-encoders was observed in the PRISM and HMP2 cohorts, respectively (FIG. 20C, Table 11). A corresponding increase in levels of stool cholestenone (2) was also observed, with COR-encoders having 5.4-fold and 3.3-fold increases in cholestenone compared to non-encoders in the two cohorts (FIG. 20C, Table 11). These shifts in metabolite levels and their co-occurrence with cor homologs are consistent with our hypothesis that COR-encoding gut bacteria deplete intestinal cholesterol through oxidation of cholesterol to cholestenone, an on-pathway intermediate to coprostanol formation.

In order to determine the extent of cholesterol metabolism in stool samples where coprostanol is being formed, a subset of 26 samples from the PRISM cohort was re-run using a quantitative LC-MS method. The concentration values for the three metabolites measured (cholesterol, cholestenone, and coprostanol) correlated well with their respective relative abundances determined by previous metabolomic methods in the same samples, validating the quantitative nature of the fecal metabolomics data for our metabolites of interest (FIG. 31A). Using the determined concentrations of each compound within a stool sample, we determined the relative proportion of coprostanol and cholestenone compared to cholesterol was determined (FIGS. 20C, 31B-31C). In the 11 coprostanol-containing human stool samples, the percentage of coprostanol to total measured cholesterol metabolites ranged from 7.4% to 95.6%, indicating a wide range of activity for this metabolism in vivo (FIG. 20C). Coprostanol comprised greater than 50% of the cholesterol metabolites in 7 of the 11 samples; in 3 of these 7 samples, coprostanol accounted for greater than 90% of the cholesterol metabolites. These data suggest that in some people, this pathway has the potential to convert most of the intestinal cholesterol to coprostanol in vivo.

Example 7 The Presence of COR-Encoding Bacteria is Associated with Lower Levels of Serum Cholesterol

Because COR-encoding bacteria are highly associated with both coprostanol formation in human stool samples and decreased fecal cholesterol levels, whether the presence of these coprostanol-forming bacteria was associated with variation in serum lipid levels in human populations, specifically HDL-C, LDL-C, and Total Cholesterol (TC) was examined. To do this in a comprehensive way, three studies (FHS, CVON, JIE et al) were used with paired stool metagenomics and serum cholesterol measurements, comprised of participants from three different countries (USA, Netherlands, China) (Table 12). While CVON (n=292) and JIE et al (n=384) were previously published studies, stool metagenomics data from 623 subjects in the FHS (Framingham Heart Study) cohort was generated to aid in answering this question. The chosen studies also included participants with prevalent cardiovascular disease (CVD). Participants with any of the newly identified COR-encoding bacteria in their microbiome were classified as encoders, while those without these species were considered non-encoders.

In a meta-analysis of these studies, while no statistically significant effects were observed for either LDL-C or HDL-C, a pooled difference of −0.15 mmol/L in TC (95% CI: −0.27, −0.03) was observed between encoders and non-encoders (FIG. 21, Table 13), with directional consistency across all three included studies and low between-study heterogeneity (F=0). To put the magnitude of the observed decrease in serum cholesterol levels into perspective, the effect sizes of the COR-encoding bacteria (0.15 mmol/L for TC) slightly exceed the largest effects of lipid-associated host genes, such as HMGCR (0.063 SD units per allele for TC, which corresponds to 0.058 mmol/L for the FHS study (see methods for details)) or PCSK9 (0.054 SD units per allele for TC, which corresponds to 0.050 mmol/L per allele for TC for the FHS study) (Willer et al., 2013). Since the presence of these COR-encoding bacteria significantly correlates with a biologically meaningful decrease in total serum cholesterol, it suggests that cholesterol metabolism by the human gut microbiota decreases host cholesterol levels.

Example 8 Discussion Related to Examples 3-7

The idea that gut bacterial metabolism of cholesterol to coprostanol may lower serum cholesterol levels was proposed over 90 years ago, yet relatively few studies have investigated this connection. The paucity of information about this gut microbial metabolic process is especially striking considering the abundance of information regarding other gut microbial metabolic activities, such as secondary bile acid formation and short-chain fatty acid biosynthesis. Efforts to understand the biological implications of gut bacterial cholesterol metabolism have been hindered by the difficulty of culturing the microbes responsible for this activity in humans and a lack of knowledge regarding the biochemical and genetic basis for this metabolic process (Ooi and Liong, 2010). By combining large scale sequencing efforts, reference-free microbiome analysis and a suite of in vitro biochemical and culture-based assays, gut bacterial genes encoding COR enzymes responsible for the first step in coprostanol formation have been identified and characterized. These Examples can at least demonstrate that the majority of coprostanol formation in diverse human populations can be attributed to a Glade of highly prevalent, COR-encoding bacterial species. These bacterial species were previously uncharacterized and currently remain uncultured, potentially explaining the past difficulties in studying this metabolic pathway. It was observed that the presence of coprostanol-forming bacteria in stool samples is associated with lower levels of fecal cholesterol, providing a plausible mechanism by which these bacteria may decrease host serum cholesterol levels. This concept is supported by the results of our meta-analysis of three geographically diverse human cohorts, which shows that subjects with coprostanol forming microbes have lower total serum cholesterol.

In addition to the observed correlation with changes in serum lipid levels, the presence of these COR-encoding bacteria is associated with highly elevated levels of intestinal cholestenone and coprostanol. This phenomenon merits further investigation as little is known about the effects of either of these molecules on the host. Metabolites with similar chemical structures, such as bile acids, have large effects on host metabolism and immune regulation, so it is plausible that both cholestenone and coprostanol may also influence host biology (Sinha et al., 2020; Song et al., 2020; Yao et al., 2018).This newfound understanding of which gut bacteria perform this reaction will guide analysis of gut metagenomic datasets to identify additional biological phenomena in which intestinal cholesterol metabolism plays a role. More generally, this work underscores the critical need to link gut microbial metabolic activities to organisms, genes and enzymes in order to fully understand metabolic interactions with the human host (Maini Rekdal et al., 2019).

The effect sizes of the presence of COR-encoding bacteria on serum cholesterol slightly exceeds those associated with differences in human genes, pointing to a potentially protective role for these bacteria in CVD, as is observed for variants of human genes. Since our current cohorts are statistically underpowered to assess the associations between CVD risk and gut microbiome composition, large-scale prospective studies will most likely be required to explore this link. However, since targeting these human genes with therapeutic interventions produces larger effect sizes (for statins targeting HMGCR: on average 1.20 mmol/L on TC), it is possible that modulating the activity of this microbial pathway may lead to similar increases in effect size and additional therapeutic benefit (Law et al., 2003). By introducing cholesterol-metabolizing gut bacteria into human gut microbiotas, or by increasing their abundance with prebiotics, it may be possible to achieve targeted effects on host serum cholesterol, a strategy that has already shown promise in influencing other areas of human metabolism (Holscher, 2017; Kurtz et al., 2019).

Using a multi-disciplinary strategy for enzyme discovery from the human gut microbiome that integrates high-throughput readouts (de novo gene assembly and metabolomics) and biochemical knowledge, enzymes involved in cholesterol metabolism were discovered and characterized. This discovery strategy can also be applied to other pathways/metabolites of interest and can enable further identification and characterization of new enzymes involved in important biological processes contributed by the microbiome, regardless of whether the microbe responsible for this metabolism is known. This is especially important for microbiome studies as computational methods continue to reveal uncharacterized microbes and enzymes that exist in microbial communities across the globe (Almeida et al., 2019; Pasolli et al., 2019). While characterizing ‘microbial dark matter’ still presents significant challenges, combining bioinformatic and biochemical approaches has the potential to grant access to this largely untapped source of biologically-relevant metabolic transformations (Marcy et al., 2007; Rinke et al., 2013).

Example 9 Materials and Methods for Examples 3-7 Experimental Model and Subject Details Microbe Strains

E. coprostanoligenes ATCC51222 was obtained from the American Type Culture Collection. E. coprostanoligenes and stool cultures were grown in basal cholesterol medium (BCM), which contained (per liter) 10 g of casitone (Difco Laboratories, Detroit, Mich.), 10 g of yeast extract, 2 g of cholesterol, 1 g of lecithin, 0.5 g of sodium thioglycolate, 1 g of calcium chloride dihydrate, and 1 mg of resazurin. E. coprostanoligenes was grown on modified lecithin agar medium (MLA) plates, which was prepared as described by Freier et al. (Freier et al., 1994).

Cultures were grown and handled in an anaerobic chamber (Coy Laboratory Products) with an atmosphere of 20% CO₂, 5% H₂, and 75% N₂ at 37° C.

Human Subjects

The Framingham Heart Study (FHS) is an observational longitudinal epidemiological investigation of the development of disease as it evolves in a community-based population sample. The design involves serial examination of all Framingham cohorts. The examinations include laboratory testing, physical examination, and interviews. For this study, participants were part of the Generation 3 Cohort who agreed to participate in the microbiome analysis.

The Generation 3 cohort was initially recruited from 2002-2005 and consists of adult men and women who were at least 20 years-old by the close of Generation 3 Exam 1, and who have at least one parent in the FHS Offspring cohort. All participants who came in for Generation 3 exam were informed of the microbiome study. Actual participants were those who returned a sample kit after the visit.

The study protocol was approved by the Massachusetts General Hospital/Partners Human Research Committee and the Institutional Review Board of the Boston University Medical Center. All experiments adhered to the regulations of these review boards. All study procedures were performed in compliance with all relevant ethical regulations. Each participant signed an informed consent prior to participation.

Method Details Cloning and Expression of Candidate Cholesterol Oxidoreductase Genes.

Candidate cholesterol oxidoreductase genes were amplified from genomic DNA (for E. coprostanoligenes) and cloned into pET28b. DNA was extracted from stool samples (DNeasy PowerSoil Kit, Qiagen) (for the cor genes from msp_0238, msp_0205, msp_0421, Table 14) or purchased from Genewiz. PCR reactions were performed with Phusion High Fidelity polymerase, and PCR products were purified (Zymoclean gel DNA recovery kit, Zymo research). The resulting gene products were assembled into pET28b using Gibson assembly and transformed into Stellar™ Competent Cells. The identities of the constructs were confirmed with DNA sequencing and transformed into E. coli BL21 strains for expression. All constructs were grown in LB with kanamycin (50 pg/mL) with the exception of the strain expressing the homolog from CAG:180 which required growth in TB for protein expression. All constructs were induced at an OD₆₀₀ of 0.5-0.6 with 500 μM isopropyl β-D-1-thiogalactopyranoside, and the induced cells were incubated at 20° C. for 20 h.

Lysate Experiments for Cholesterol Oxidoreductase Activity

500 mL of a culture of E. coli BL21 expressing one of the cholesterol oxidoreductase homologs were pelleted by centrifugation (20 min at 7,000g and 4° C.), resuspended in 10 mL of ice-cold phosphate-buffered saline containing one cOmplete Protease Inhibitor cocktail tablet (Roche Diagnostics) and lysed by a cell disruptor (EmulsiFlex-C3, Avestin). Cell debris was removed by ultracentrifugation (30 min at 20,000g and 4° C.). Protein expression was confirmed by SDS-PAGE analysis using 4-20% Mini-PROTEAN TGX gels (Bio-Rad Laboratories). Gels were stained with Coomassie Blue for visualization. The clarified supernatant was used directly in the cell lysate assay described below. Cholesterol or coprostanol (5 μL of a 10 mM solution of cholesterol or coprostanol in methanol) was added to 500 μL of clarified supernatant with 100 μM of NADP⁺ and NAD⁺. After incubation at 37° C. for 12 h, the reaction mixtures were frozen until being analyzed using LC-MS.

qPCR of E. coprostanoligenes

Total RNA was purified by chloroform-phenol extraction from cell pellets of replicate cultures of E. coprostanoligenes grown in basal cholesterol media for 48 h. RNA was DNase treated, and cDNA was prepared using the High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems). Transcripts of interest were quantified by real-time PCR carried out using iTaq Universal SYBR Green Supermix (Bio-Rad). All qPCRs were normalized to 16S rRNA gene expression. Primers used are listed in Table 6.

Purification of N-His Terminal Tagged ECOP 170

Proteins were overexpressed using the procedure described above. Cells from 200 mL of culture were pelleted by centrifugation, resuspended in 10 mL of ice-cold lysis buffer (300 mM NaCl, 10 mM imidazole, 50 mM HEPES, pH 7.5) containing one cOmplete Protease Inhibitor cocktail tablet, and lysed by 4 min of continuous passage through a cell disruptor (EmulsiFlex-C3, Avestin) at 15,000 lbs per square inch. Cell debris was removed by ultracentrifugation (20 min at 20,000×g and 4° C.), and the cell-free extract was applied to 0.5 mL of HisPur Ni-NTA Resin (Thermo Scientific) pre-equilibrated with lysis buffer by gentle rocking at 4° C. for 2 h. Non-absorbed materials and weakly bound proteins were removed by washing the column with 2×25 mL of wash buffer (300 mM NaCl, 20 mM imidazole, 50 mM HEPES, pH 7.5). His₆-tagged protein was eluted with 5 mL of elution buffer (300 mM NaCl, 200 mM imidazole, 50 mM HEPES, pH 7.5). After SDS-PAGE analysis, eluent containing pure protein was dialyzed (Spectra/Por Dialysis Membrane, 6-8 kDa molecular weight cutoff; Spectrum Labs) against 500 mL of extraction buffer (300 mM NaCl, 50 mM HEPES, pH 7.5) for 12 h at 4° C. The proteins were immediately used in enzymatic assays.

Culturing Stool Samples

Approximately 100 mg of frozen stool sample was suspended in 20 mL of pre-reduced PBS and vortexed for homogenization. 500 μL of stool slurry was added to 5 mL of pre-reduced basal cholesterol medium and cultured in an anaerobic chamber at 37° C.

Extraction of Cholesterol, Cholestenone, Coprostanone and Coprostanol

Samples (either stool cultures,reaction mixtures with purified enzymes or lysates) were diluted 1:10 in methanol. Insoluble debris was removed by centrifugation (10 min at 5,000×g and 4° C.) and the supernatant was injected onto a Kinetex 2.6 μm, C8 100 Å 100×3 mm (Phenomenex) column for LC-MS analysis. For the re-analysis of PRISM stool samples (FIG. 20C), samples post centrifugation were additionally diluted 1:1 in methanol.

Instrumentation and Chromatographic Conditions for Measurement of Sterols

Analysis of the sterols in samples was performed using an ultra-high performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) system model Xevo TQ-S (Waters). The mass spectrometer system consists of a triple quadrupole equipped with an atmospheric pressure chemical ionization (APCI) probe. The chromatographic separation was performed on a Kinetex 2.6 μm, C8 100 Å 100×3 mm (Phenomenex) column. The LC elution method was as follows: 0-4.5 min (93% B) at a flow rate of 0.5 mL/min at 40° C. Solvent A was water with 0.1% formic acid, and solvent B was acetonitrile with 0.1% formic acid.

To measure cholesterol, cholestenone, coprostanone and coprostanol, the retention times and mass transitions listed below were monitored for each compound: cholesterol (rt 2.70, 369.332→147.021), cholestenone (rt 2.60, 385.244→108.988), coprostanone (rt 3.00, 369.332→147.021), coprostanol (rt 3.20, 371.304→95.011).

For the targeted metabolomics method developed for the re-analysis of samples from the PRISM cohort, fecal slurries from 26 stool samples were obtained from the metabolomics platform at the Broad Institute (Franzosa et al., 2019). Samples chosen had a large range of relative abundances for coprostanol as determined by untargeted metabolomics. The only difference in analysis was the LC elution method used: 0-23 min (50% B to 100% B), 23-25 min (100% B), 25-29 min (100% B to 50% B), 29-30 min (50% B), at a flow rate of 0.5 mL/min at 40° C. Solvent A was water with 0.1% formic acid, and solvent B was acetonitrile with 0.1% formic acid. To measure cholesterol, cholestenone and coprostanol, the retention times and mass transitions listed below were monitored for each compound: Cholesterol (rt 17.573, 369.332→147.021), cholestenone (rt 17.652, 385.244→108.988), coprostanol (rt 18.899, 371.304→95.011).

Extraction of DNA and Metagenomic Sequencing of Human Stool Samples

For samples used in FIG. 19C, 1 mL of stool culture (described above) at day 3 was centrifuged at 5,000×g for 10 min. Supernatant was removed and the pellet was frozen until further processing. DNeasy PowerSoil Kit was used to isolate DNA (Qiagen).

For Framingham Heart Study (FHS) samples, stool was collected in 100% ethanol for nucleic acid extraction as previously described (Lloyd-Price et al., 2019). For DNA extraction, a combination of the QlAamp 96 PowerFecal Qiacube HT Kit (Qiagen Cat No./ID: 51531), the Allprep DNA/RNA 96 Kit (Qiagen Cat No./ID: 80311), and IRS solution (Qiagen Cat No./ID: 26000-50-2) kits were used with a custom protocol as previously described (Lavoie et al., 2019). Briefly, approximately 100 mg of stool were transferred into individual wells of the PowerBead plate, with 0.1 mm glass beads (Cat No./ID: 27500-4-EP-BP) prior to bead beating on a TissueLyzer II at 20 Hz for a total of 10 minutes. Samples were transferred into AllPrep 96 DNA plate and processed as per manufacturer's instructions. Purified DNA was stored at −20° C.

For metagenomic library construction, DNA samples were first quantified by Quant-iT PicoGreen dsDNA Assay (Life Technologies) and normalized to a concentration of 50 pg/μL. Illumina sequencing libraries were prepared from 100-250 pg of DNA using the Nextera XT DNA Library Preparation kit (Illumina) according to the manufacturer's recommended protocol, with reaction volumes scaled accordingly. Prior to sequencing, libraries were pooled by collecting equal volumes (200 nL) of each library from batches of 96 samples. Insert sizes and concentrations for each pooled library were determined using an Agilent Bioanalyzer DNA 1000 kit (Agilent Technologies). Libraries were sequenced on HiSeq 2500 2×101 to yield ˜10 million paired end reads per sample. De-multiplexing and BAM and FASTQ file generation were performed using the Picard suite (broadinstitute.github.io/picard).

Extraction and Sequencing of E. coprostanoligenes ATCC51222 and Assembly of High Quality Genome

Cultures of E. coprostanoligenes were grown for two days in BCM. Cells were pelleted at 5,000×g for 10 min and DNeasy PowerSoil Kit was used to isolate DNA (Qiagen). Two different sequencing methods were used to generate sequencing reads for this genome: Nextera XT DNA Library Preparation kit (Illumina) and Oxford Nanopore MinION. For Illumina library construction, see methods above. The second complementary approach used was Oxford Nanopore MinION sequencing using the 1D approach following default Oxford Nanopore protocols for library preparation. Sequencing of E. coprostanoligenes on the MinIon was performed with a R9 flow cell resulting in 9527 reads with an N50 length of 2593. Prior to assembly, the Illumina reads were trimmed with Trimmomatic 0.36. Spades 3.9.0 was used to perform a hybrid assembly with the Illumina and Oxford Nanopore MinIon reads using the -nanopore option. The Oxford Nanopore MinIon reads were passed to Spades without correction.

Untargeted Metabolomics of Fecal Samples

Cholesterol (rt 7.21, m/z 369.3519), cholestanone (rt 7.00, m/z 385.3465), and coprostanol (rt 7.50, m/z 371.3583) could be identified in published metabolomics datasets (PRISM and HMP2) using peak picking software (Progenesis QI). For more information detailing the generation of the two fecal metabolomics datasets, see Franzosa et al (Franzosa et al., 2019) and Lloyd-Price et al (Lloyd-Price et al., 2019).

Quantification and Statistical Analysis

Raw sequencing data for PRISM (Franzosa et al., 2019), HMP2 (Lloyd-Price et al., 2019), CVON (Kurilshikov et al., 2019), 500FG (Schirmer et al., 2016) and a study by Jie et al (Jie et al., 2017) were downloaded from SRA: PRJNA400072 (PRISM), PRJNA398089 (HMP2), PRJNA319574 (500FG), or from EBI: EGAS00001003508 (CVON), PRJEB21528 (study by Jie et al).

The quality control for all metagenomic datasets was conducted using Trim Galore! to detect and remove sequencing adapters (minimum overlap of 5 bp) and kneadData v0.7.2 to remove human DNA contamination and trim low-quality sequences (HEADCROP:15 SLIDINGWINDOW:1:20), retaining reads that were at least 50bp.

A two-step approach was employed to analyze metagenomic data: 1) de-novo assembly, gene catalogue construction and metagenomic species binning to prioritize functionally and taxonomically interesting enzymes correlated with coprostanol detection in stool metabolomics from PRISM (Franzosa et al., 2019) and HMP2 (Lloyd-Price et al., 2019); and 2) targeted assembly across prioritized samples to create draft genomes for human gut microbes that encode the homologs to the prioritized cholesterol oxidoreductase from E. coprostanoligenes.

In step 1, metagenomic reads from all cohorts were assembled individually for each sample into contigs using MegaHIT (Li et al., 2015), followed by an open reading frame prediction with Prodigal (Hyatt et al., 2010) and retaining only full length genes (containing both start and stop codon). A non-redundant gene catalogue was constructed by clustering predicted genes based on sequence similarity at 95% identity and 90% coverage of the shorter sequence using CD-HIT (Fu et al., 2012; Qin et al., 2010). Reads were mapped to the gene catalogue with BWA (Li and Durbin, 2009), filtered to include strong mappings with at least 95% sequence identity over the length of the read, counted (count matrix) and normalized to transcript-per-million (TPM matrix). Count matrix served as an input for binning genes into metagenomic species pan-genomes (core and accessory genes) using MSPminer with default settings (Plaza Oriate et al., 2018). The catalogue at species, genus and phylum levels were annotated with NCBI RefSeq (version May 2018) as described previously (Li et al., 2014). To place MSPs that had no match to any species from NCBI RefSeq on a phylogenetic tree PhyloPhlAn was used with default settings (Segata et al., 2013) and used the support values returned by FastTree (Price et al., 2010) to represent the reliability of each split in the phylogenetic tree (similar to bootstrap values). To perform the sensitivity and specificity analysis for coprostanol detection in stool samples, the gene catalogue was first clustered by grouping proteins with >50% AA identity into clusters of homologous proteins (Suzek et al., 2015) and represented their presence/absence in each sample based on the detection of any protein in the cluster (TPM >0). Clusters of homologous proteins with at least 1% prevalence in PRISM and HMP2 were used, and for each cluster used its detection to classify samples as coprostanol positive (cluster detected) or negative (cluster not detected). By comparing with the actual metabolomics readout of coprostanol presence or absence in each stool sample, measures of sensitivity (true positives/(true positives+false negatives)) and specificity (true negatives/(true negatives+false positives)) were derived for each cluster that represent how well a given cluster correlates with presence and absence of coproprostanol. Proteins found in the microbial genomes of interest: B. dorei CL03T12C01 (GCF 001640865.1), B. longum NCC2705 (GCF_000007525.1) and Lactobacillus acidophilus ATCC 53544 (CP022449.1), were mapped to the clusters of homologous proteins with USEARCH ublast (Edgar, 2010) (min. 50% AA identity, 50%). Similarly, USEARCH ublast (Edgar, 2010) was used to map enzymes of interest (Table 4) to the clusters of homologues, but with a more inclusive similarity cutoffs (min. 25% AA identity, 50% coverage).

In step 2, for the prioritized MSPs human gut microbiomes were selected (at least two per MSP) that had the highest cumulative read-per-kilobase (RPK) count across all MSP genes (counted in step 1) for assembly with SPAdes(Bankevich et al., 2012) in ‘-meta’ mode. The 4 cultured stool samples were that showed cholesterol oxidoreductase activity were included. 6 samples were aborted after two assembly trials due to expected very long runtime (>>48 h), and in their case, were reverted to the MegaHIT assemblies from step 1. To construct the draft genomes, genes binned in the respective MSPs (from step 1) were used to find (min. 95% identity, min. 50% coverage, USEARCH ublast (Edgar, 2010)) and extract contigs encoding them. The quality of the draft genomes were evaluated using completeness and contamination measurements based on lineage specific marker genes with CheckM (lineage_wf workflow)(Parks et al., 2015). As recommended by CheckM framework, draft genomes with >90% completeness and <5% contamination were considered as near complete (high quality draft genomes)(Parks et al., 2015). Additionally, draft genomes with >50% completeness and <10% contamination were defined as medium quality (Bowers et al., 2017). All-vs-all genome-wide calculation of sequence identity for the draft genomes and the genome of E. coprostanoligenes was performed with FastANI (Jain et al., 2018).

To test for detection of E. coprostanoligenes in the human gut microbiome, its genes were searched for in the assembled gene catalogue (min. 95% identity, USEARCH global alignment (Edgar, 2010)) or mapped metagenomic stool samples (as in step 1 above) to the assembled gene catalogue that was augmented with the E. coprostanoligenes genes (only added genes with less than 95% identity to other genes in the gene catalogue, USEARCH global alignment (Edgar, 2010)). In order to link the near quality draft genomes for COR encoding MSPs to the previous studies, their genes were searched for near identical hits among gene sets from metagenomic species (MGS' es) generated in two gene-centric studies(Nielsen et al., 2014); (Plaza (Mate et al., 2018) and two genome-binning studies(Pasolli et al., 2019); (Almeida et al., 2019) using global alignment (min. 95% nucleotide identity, USEARCH (Edgar, 2010)). MGS was matched to a COR-encoding MSP if an overlap with at least. 50% genes was observed (FIG. 29B, Table 9).

The high-quality draft genomes are available for download from NCBI Genomes Bioproject A559861.

Associations with Blood Lipids and Meta-Analysis of Four Studies

The relationship between converter status and blood concentration of total cholesterol, LDL-C and HDL-C was studied in three studies with publicly available shotgun metagenomic sequencing datasets: CVON (Kurilshikov et al., 2019), a study by JIE et al (Jie et al., 2017) and one newly sequenced FHS study. Detailed characteristics of studies are provided in Table 12.

Converter status was coded as a dichotomous variable (converter cases and controls (=“non-converter”)). LDL levels were calculated using Friedwald equation (Friedewald et al., 1972) [LDL=TC−HDL−(TG/5)). Triglycerides were not normally distributed and thus a log10 transformation was performed.

In each study association analysis was performed using a generalized linear model with a given lipid as outcome and encoder status as a predictor. Age (in years), sex, antibiotic usage (yes/no) and statin usage (yes/no) were fitted as covariates while optimization was performed using lm function in R. CVD status (yes/no) was additionally included in the model in all studies with available data (CVON and FHS). All participants of the JIE et al. study were not taking antibiotics (Jie et al., 2017). For the Jie et al. study, statin usage was not reported for controls and thus only CVD cases were used in our analyses to avoid confounding of associations due to profound effects of statins on lipid concentrations.

Inverse variance-weighted random-effects meta-analysis implemented in meta R package was used to obtain pooled estimates for relationship between converter status and lipid concentrations across all three studies with between-study heterogeneity calculated using I² statistics (Higgins and Thompson, 2002) (also meta R package).

Relationships between Stool Metabolites and Converter Status

Relationships between stool metabolites and converter status were investigated in the PRISM (Franzosa et al., 2019) and HMP2 (Lloyd-Price et al., 2019) studies. In PRISM and HMP2, data for cholesterol, cholestenone and coprostanol was available. Log10 transformation was performed (with pseudo count of le-5 for zero values) of metabolite data followed by calculation of z-scores by subtracting the mean from each individual value and dividing by the standard deviation. For coprostanol, dichotomous variable indicating presence or absence of this metabolite in stool samples was also created.

In PRISM, transformed rescaled values of metabolites were used as outcomes in linear regression models using lm function (stats package in R), converter status was included as predictor, while age, gender, antibiotic usage (yes/no) and disease status (non-IBD, CD or UC) were used as covariates. For the dichotomous coprostanol variable the same model specification was utilized, but applied a logistic model using glm function (stats package in R).

Given that in the HMP2 study longitudinal metabolite measurements were available, mixed effects models were utilized to study relationships between converter status and stool metabolite concentrations. Transformed metabolite values were fitted as outcomes and converter status was specified as predictor while subjects were included as random effects to account for correlation between repeated measures (lme function from nlme R package). For the dichotomous coprostanol variable a logistic mixed effects model including subjects as random effects variable (glmer function from 1me4 package in R) was fitted. Age, gender, antibiotic usage (yes/no) and disease status (non-IBD, CD or UC) were included in all models as covariates (fixed effects) in HMP2 study.

Comparison with GWAS Meta-Analysis for Lipid Traits

Two loci were selected that are known drug targets (HMGCR and PCSK9) and extracted respective effect sizes from the largest GWAS meta-analysis (Willer et al., 2013) to compare with the effects of the studied cor microbial genes. To make GWAS estimates in SD units comparable with reported effect sizes, beta values from GWAS were multiplied by SD from FHS study. For example, SD of lipid of interest from the FHS cohort (e.g., 0.92 mmol/L for TC) was multiplied by the effect size per allele in SD units (e.g., 0.068 in SD units for HMGCR) to give the effect size in mmol/L (e.g., 0.063 mmol/L per allele in FHS study for HMGCR).

Data and Code Availability

PRISM and HMP2 metabolomics data (accession number PR000677 and PR000639 respectively) are available at the NIH Common Fund's Metabolomics Data Repository and Coordinating Center (supported by NIH grant, U01-DK097430): Metabolomics Workbench (metabolomicsworkbench.org). Framingham Heart Study metagenomics data is available in the Sequence Read Archive (ncbi.nlm.nih.gov/sra) under BioProject PR.INA559860. Stool culture sequencing data can be found under BioProject PRJNA559861.

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Various modifications and variations of the described methods, pharmaceutical compositions, and kits of the invention will be apparent to those skilled in the art without departing from the scope and spirit of the invention. Although the invention has been described in connection with specific embodiments, it will be understood that it is capable of further modifications and that the invention as claimed should not be unduly limited to such specific embodiments. Indeed, various modifications of the described modes for carrying out the invention that are obvious to those skilled in the art are intended to be within the scope of the invention. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure come within known customary practice within the art to which the invention pertains and may be applied to the essential features herein before set forth. 

What is claimed is:
 1. A non-naturally occurring microbe engineered to express one or more cholesterol oxidoreductase (COR) proteins or a homolog thereof.
 2. The microbe of claim 1, wherein the one or more COR proteins or homologs thereof originate from phylum Firmicutes.
 3. The microbe of claim 2, wherein the one or more COR proteins or homologs thereof originate from the neighborhood or marker species of Cluster IV Clostridium group or Cluster XIVa Clostridium group.
 4. The microbe of claim 1, wherein the microbe is engineered to express one or more heterologous COR proteins or homolog thereof.
 5. The microbe of claim 1, wherein the one or more COR proteins or homologs thereof is a Eubacterium coprostanoligenes.
 6. The microbe of claim 1, wherein the one or more COR proteins or homologs thereof has at least 50% amino acid identity with ECOP170 (SEQ ID NO: 44).
 7. The microbe of claim 1, wherein the one or more COR homologs comprise animo acids corresponding to S138, Y151, and/or K155 of ECOP170 (SEQ ID NO: 44).
 8. The microbe of claim 1, wherein the one or more COR proteins or homologs thereof originate from a human.
 9. The microbe of claim 6, wherein the one or more COR proteins or homologues thereof is/are selected from one or more of sequences in Table 6, Table 1, Table 2, or a combination thereof.
 10. The microbe of claim 1, wherein the one or more COR proteins of homologs comprise a sequence selected from SEQ ID NO: 1-40, or SEQ ID NO:
 44. 11. The microbe of claim 1, wherein the one or more COR proteins or homologs thereof originate from a human, optionally selected from the Metagenomic Species (MSP) MSP_0701 (SEQ ID NO: 9), MSP_0759 (SEQ ID NO: 8), MSP_0654 (SEQ ID NO: 7), MSP_0205 (SEQ ID NO: 13), MSP_0421 (SEQ ID NO: 14), MSP_0764 (SEQ ID NO: 11), MSP_0238 (SEQ ID NO: 16), MSP_0522 (SEQ ID NO: 24, 25), MSP_0672 (SEQ ID NO: 21), MSP_0602 (SEQ ID NO: 23), MSP_0645 (SEQ ID NO: 19), MSP_0476 (SEQ ID NO: 18), MSP_0640 (SEQ ID NO: 17), MSP_0676 (SEQ ID NO: 5), MSP_0638 (SEQ ID NO: 6), MSP_0562 (SEQ ID NO: 4), MSP_0196 (SEQ ID NO: 3), MSP_0832 (SEQ ID NO:26) and MSP_0741 (SEQ ID NO: 2).
 12. The microbe of claim 1, wherein the one or more COR proteins or homologs thereof are selected from the group consisting of ECOP170, CAG:180, CAG:251, CAG:341, CAG:217, CAG:528, and CAG678.
 13. The microbe of claim 1 further engineered to express a cholesterol transporter.
 14. The microbe of claim 1, wherein the engineered microbe is an engineered variant of a Corynebacterium, Bifidobacterium, Atopobium, Faecalibacterium, Clostridium, Roseburia, Ruminoccus, Dialister, Lactobacillus, Enterococcus, Staphlyoccus, Streptococcus, Sphingobacterium, Bacteroides, Tannerella, Parabacteroides, Alistipes, Prevotella, Escherichia, Shigella, Desulfovibrio, Bilophila, Helicobacter, Fusobacterium, Pediococcus, Bacillus, Leuconostoc, Akkermansia, Methanobrevibacter, Propionibacterium, Coriobacteriaceae, Actinobacteria, Rikenellaceae, Lachnospiraceae, Firmicutes, Peptostreptococcaceae, Veillonella, Oscillospira, Dialister, Slackia, Eggerthella, Gordonibacter, Geobacter Alkaliphilus, Cantenibacterium, Holdemania,Marvinbryantia, Symbiobacterium, Roseburia, Erysipelotrichaceae, Butyricicoccus, Sporobacter, Blautia, Dorea, Succinivibrio, Barnesiella, Biolophila, Eubacterium, or Saccharomyce microbe.
 15. The microbe of claim 14, wherein the microbe is E. coli.
 16. A composition comprising the microbe of claim
 14. 17. The composition of claim 16, wherein the composition is formulated for oral delivery.
 18. A probiotic composition comprising one or more microbes according to claim
 1. 19. The probiotic composition of claim 18, wherein the one or more COR proteins or homologs thereof originate from the neighborhood or marker species of Cluster IV Clostridium group or Cluster XIVa Clostridium group.
 20. The probiotic composition of claim 18, wherein the one or more microbes are selected from the Metagenomic Species (MSP) MSP_0701, MSP_0759, MSP_0654, MSP_0205, MSP_0421, MSP_0764, MSP_0238, MSP_0522, MSP_0672, MSP_0602, MSP_0645, MSP_0476, MSP_0640, MSP_0676, MSP_0638, MSP_0562, MSP_0196, MSP_0741, MSP_0910, MSP_832, Obregon-TitoAJ_2015_NO16_bin.9, UMGS233, UMGS598, UMGS135, GeversD_2014_SKBSTL024_bin.4, UMGS98, LeChatelierE_2013_MH0448_bin.22, SmitsSA_2017_TZ_65172_bin.2, XieH_2016_YSZC12003_36049_bin.90, LoombaR_2017_SID5447_cka_bin.41, VincentC_2016_MM029.3_bin.33, UMGS234, UMGS1867, ZellerG_2014_CCIS11015875ST-4-0_bin.2, or combinations thereof.
 21. The probiotic composition of claim 18, wherein the probiotic composition is formulated for oral, optionally a powder, bolus gel, capsule, liquid, or foodstuff.
 22. The probiotic composition of claim 18, further comprising one or more prebiotics.
 23. A method of screening subjects for increased risk of high cholesterol or an Inflammatory Bowel Disease, comprising detecting the presence of one or more COR encoding microbes of claim 1 in the gut of a subject.
 24. The method of claim 23, wherein detecting comprising culturing one or more COR encoding microbes or detecting one or more microbial COR genes or proteins in the fecal sample of the subject.
 25. A method of reducing serum total cholesterol and/or triglycerides in a subject comprising administering an engineered microbe of claim 1 to a subject in need thereof.
 26. The method of claim 25, wherein the subject has hypercholesterolemia.
 27. The method of claim 25, further comprising delivering coprostanol, cholestanone, or coprostanone.
 28. A method of reducing cholesterol uptake in a subject, comprising delivering coprostanol, cholestanone, or coprostanone in an effective amount to lower serum cholesterol in the subject.
 29. The method of claim 27, wherein the coprostanol, cholestanone, or coprostanone is provided in a water dispersible solid form. 